def test_rotation(self):
T = ((0., 0., 1., 0.), (0., -1., 0., 0.), (1., 0., 0., 0.), (0., 0.,
0., 1.))
op = OpPointModifier('op3')
op.setTransformation(T)
op.positionIN.value = gaze
op.jacobianIN.value = Jgaze
op.position.recompute(1)
op.jacobian.recompute(1)
self.assertEqual(op.getTransformation(), T)
# w_M_s = w_M_g * g_M_s
w_M_g = np.asmatrix(gaze)
g_M_s = np.asmatrix(T)
w_M_s_ref = w_M_g * g_M_s
w_M_s = np.asmatrix(op.position.value)
# Check w_M_s == w_M_s_ref
self.assertEqual(np.equal(w_M_s, w_M_s_ref).all(), True)
twist = np.matrix([[0., 0., 1., 0., 0., 0.], [0., -1., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0.], [0., 0., 0., 0., 0., 1.],
[0., 0., 0., 0., -1., 0.], [0., 0., 0., 1., 0.,
0.]])
J = np.asmatrix(op.jacobian.value)
J_ref = twist * Jgaze
# Check w_M_s == w_M_s_ref
self.assertEqual(np.equal(J, J_ref).all(), True)
def createOpPointModif(self):
self.opPointModif = OpPointModifier('opmodif' + self.name)
plug(self.dyn.signal(self.opPoint),
self.opPointModif.signal('positionIN'))
plug(self.dyn.signal('J' + self.opPoint),
self.opPointModif.signal('jacobianIN'))
self.opPointModif.activ = False
def createFrame(self, frameName, transformation, operationalPoint):
frame = OpPointModifier(frameName)
frame.setTransformation(transformation)
plug(self.dynamic.signal(operationalPoint), frame.positionIN)
plug(self.dynamic.signal("J{0}".format(operationalPoint)), frame.jacobianIN)
frame.position.recompute(frame.position.time + 1)
frame.jacobian.recompute(frame.jacobian.time + 1)
return frame
def createFrame(self, frameName, transformation, operationalPoint):
frame = OpPointModifier(frameName)
frame.setTransformation(transformation)
plug(self.dynamic.signal(operationalPoint), frame.positionIN)
plug(self.dynamic.signal("J{0}".format(operationalPoint)),
frame.jacobianIN)
frame.position.recompute(frame.position.time + 1)
frame.jacobian.recompute(frame.jacobian.time + 1)
return frame
def test_simple(self):
op = OpPointModifier('op')
op.setTransformation(I4)
op.positionIN.value = I4
op.jacobianIN.value = I6
op.position.recompute(0)
op.jacobian.recompute(0)
self.assertEqual(op.getTransformation(), I4)
self.assertEqual(op.position.value, I4)
self.assertEqual(op.jacobian.value, I6)
def test_simple(self):
op = OpPointModifier('op')
op.setTransformation(I4)
op.positionIN.value = I4
op.jacobianIN.value = I6
op.position.recompute(0)
op.jacobian.recompute(0)
self.assertEqual(op.getTransformation(), I4)
self.assertEqual(op.position.value, I4)
self.assertEqual(op.jacobian.value, I6)
class HRP2MocapToSOT:
def __init__(self, robot):
self.robot = robot
self.ros = RosExport("rosExportMocap")
self.ros.add("matrixHomoStamped", "chest", "/evart/hrp2_head_sf/hrp2_head_sf")
self.mocapFilter = MocapDataFilter("MocapDataFilter")
plug(self.ros.signal("chest"), self.mocapFilter.sin)
self.mocapSignal = self.mocapFilter.sout
def initialize(self):
m = np.matrix(
[
[-0.8530, 0.5208, -0.0360, 0.0049],
[-0.5206, -0.8537, -0.0146, -0.0078],
[-0.0384, 0.0063, 0.9993, 0.2158],
[0, 0, 0, 1.0000],
]
) # transformation from the chest-markers frame to the chest frame
self.chestMarkersSot = OpPointModifier(
"chestMarkersSot"
) # gets the position of the chest-markers frame in sot frame
self.chestMarkersSot.setEndEffector(False)
self.chestMarkersSot.setTransformation(matrixToTuple(m))
plug(self.robot.dynamic.chest, self.chestMarkersSot.positionIN)
self.chestMarkersSot.position.recompute(1)
self.mchestsot = np.matrix(self.chestMarkersSot.position.value)
self.mchestmocap = np.matrix(self.ros.signal("chest").value)
self.mtransformMocap2ISot = (
np.linalg.inv(self.mchestsot) * self.mchestmocap
) # transforms the mocap frame to the initial-sot frame
self.chestMarkerMocapInISot = Multiply_of_matrixHomo(
"chestMarkerMocap"
) # gets position of chest-markers frame in sot-initial frame
self.chestMarkerMocapInISot.sin1.value = matrixToTuple(self.mtransformMocap2ISot)
plug(self.mocapSignal, self.chestMarkerMocapInISot.sin2)
self.chestMarkersSotInverse = Inverse_of_matrixHomo(
"chestMarkersSotInverse"
) # inverse of the homomatrix for position of markers in local sot
plug(self.chestMarkersSot.position, self.chestMarkersSotInverse.sin)
self.robotPositionISot = Multiply_of_matrixHomo("robotPositionInSot")
plug(self.chestMarkerMocapInISot.sout, self.robotPositionISot.sin1)
plug(self.chestMarkersSotInverse.sout, self.robotPositionISot.sin2)
self.robotPositionInMocap = Multiply_of_matrixHomo("robotPositionInMocap")
plug(self.mocapSignal, self.robotPositionInMocap.sin1)
plug(self.chestMarkersSotInverse.sout, self.robotPositionInMocap.sin2)
class HRP2MocapToSOT:
def __init__(self, robot):
self.robot = robot
self.ros = RosExport('rosExportMocap')
self.ros.add('matrixHomoStamped', "chest",
"/evart/hrp2_head_sf/hrp2_head_sf")
self.mocapFilter = MocapDataFilter('MocapDataFilter')
plug(self.ros.signal('chest'), self.mocapFilter.sin)
self.mocapSignal = self.mocapFilter.sout
def initialize(self):
m = np.matrix([
[-0.8530, 0.5208, -0.0360, 0.0049],
[-0.5206, -0.8537, -0.0146, -0.0078],
[-0.0384, 0.0063, 0.9993, 0.2158], [0, 0, 0, 1.0000]
]) #transformation from the chest-markers frame to the chest frame
self.chestMarkersSot = OpPointModifier(
'chestMarkersSot'
) # gets the position of the chest-markers frame in sot frame
self.chestMarkersSot.setEndEffector(False)
self.chestMarkersSot.setTransformation(matrixToTuple(m))
plug(self.robot.dynamic.chest, self.chestMarkersSot.positionIN)
self.chestMarkersSot.position.recompute(1)
self.mchestsot = np.matrix(self.chestMarkersSot.position.value)
self.mchestmocap = np.matrix(self.ros.signal('chest').value)
self.mtransformMocap2ISot = np.linalg.inv(
self.mchestsot
) * self.mchestmocap #transforms the mocap frame to the initial-sot frame
self.chestMarkerMocapInISot = Multiply_of_matrixHomo(
"chestMarkerMocap"
) #gets position of chest-markers frame in sot-initial frame
self.chestMarkerMocapInISot.sin1.value = matrixToTuple(
self.mtransformMocap2ISot)
plug(self.mocapSignal, self.chestMarkerMocapInISot.sin2)
self.chestMarkersSotInverse = Inverse_of_matrixHomo(
"chestMarkersSotInverse"
) #inverse of the homomatrix for position of markers in local sot
plug(self.chestMarkersSot.position, self.chestMarkersSotInverse.sin)
self.robotPositionISot = Multiply_of_matrixHomo("robotPositionInSot")
plug(self.chestMarkerMocapInISot.sout, self.robotPositionISot.sin1)
plug(self.chestMarkersSotInverse.sout, self.robotPositionISot.sin2)
self.robotPositionInMocap = Multiply_of_matrixHomo(
"robotPositionInMocap")
plug(self.mocapSignal, self.robotPositionInMocap.sin1)
plug(self.chestMarkersSotInverse.sout, self.robotPositionInMocap.sin2)
def createContact(self,name, prl):
self.contactOpPoint = OpPointModifier(name+'_opPoint')
self.contactOpPoint.setEndEffector(False)
self.contactOpPoint.setTransformation(matrixToTuple(prl))
plug (self.robot.dynamic.chest,self.contactOpPoint.positionIN)
self.contactPos = MatrixHomoToPose(name+'_pos')
plug(self.contactOpPoint.position, self.contactPos.sin)
self.contact = Stack_of_vector (name)
plug(self.contactPos.sout,self.contact.sin1)
self.contact.sin2.value = (0,0,0)
self.contact.selec1 (0, 3)
self.contact.selec2 (0, 3)
return (self.contactOpPoint,self.contactPos,self.contact)
class HRP2ModelFreeFlexEstimator(DGIMUModelFreeFlexEstimation):
def __init__(self, robot, name='flextimator'):
DGIMUModelFreeFlexEstimation.__init__(self,name)
self.setSamplingPeriod(0.005)
self.robot = robot
self.sensorStack = Stack_of_vector (name+'Sensors')
plug(robot.device.accelerometer,self.sensorStack.sin1)
plug(robot.device.gyrometer,self.sensorStack.sin2)
self.sensorStack.selec1 (0, 3)
self.sensorStack.selec2 (0, 3)
plug(self.sensorStack.sout,self.measurement);
self.inputPos = MatrixHomoToPoseUTheta(name+'InputPosition')
plug(robot.frames['accelerometer'].position,self.inputPos.sin)
robot.dynamic.createJacobian('ChestJ_OpPoint','chest')
self.imuOpPoint = OpPointModifier('IMU_oppoint')
self.imuOpPoint.setEndEffector(False)
self.imuOpPoint.setTransformation(matrixToTuple(np.linalg.inv(np.matrix(self.robot.dynamic.chest.value))*np.matrix(self.robot.frames['accelerometer'].position.value)))
plug (robot.dynamic.chest,self.imuOpPoint.positionIN)
plug (robot.dynamic.signal('ChestJ_OpPoint'),self.imuOpPoint.jacobianIN)
self.inputVel = Multiply_matrix_vector(name+'InputVelocity')
plug(self.imuOpPoint.jacobian,self.inputVel.sin1)
plug(robot.device.velocity,self.inputVel.sin2)
self.inputPosVel = Stack_of_vector (name+'InputPosVel')
plug(self.inputPos.sout,self.inputPosVel.sin1)
plug(self.inputVel.sout,self.inputPosVel.sin2)
self.inputPosVel.selec1 (0, 6)
self.inputPosVel.selec2 (0, 6)
self.inputVector = PositionStateReconstructor (name+'EstimatorInput')
plug(self.inputPosVel.sout,self.inputVector.sin)
self.inputVector.inputFormat.value = '001111'
self.inputVector.outputFormat.value = '011111'
self.inputVector.setFiniteDifferencesInterval(2)
plug(self.inputVector.sout,self.input)
robot.flextimator = self
def initialize(self):
m = np.matrix([
[-0.8530, 0.5208, -0.0360, 0.0049],
[-0.5206, -0.8537, -0.0146, -0.0078],
[-0.0384, 0.0063, 0.9993, 0.2158], [0, 0, 0, 1.0000]
]) #transformation from the chest-markers frame to the chest frame
self.chestMarkersSot = OpPointModifier(
'chestMarkersSot'
) # gets the position of the chest-markers frame in sot frame
self.chestMarkersSot.setEndEffector(False)
self.chestMarkersSot.setTransformation(matrixToTuple(m))
plug(self.robot.dynamic.chest, self.chestMarkersSot.positionIN)
self.chestMarkersSot.position.recompute(1)
self.mchestsot = np.matrix(self.chestMarkersSot.position.value)
self.mchestmocap = np.matrix(self.ros.signal('chest').value)
self.mtransformMocap2ISot = np.linalg.inv(
self.mchestsot
) * self.mchestmocap #transforms the mocap frame to the initial-sot frame
self.chestMarkerMocapInISot = Multiply_of_matrixHomo(
"chestMarkerMocap"
) #gets position of chest-markers frame in sot-initial frame
self.chestMarkerMocapInISot.sin1.value = matrixToTuple(
self.mtransformMocap2ISot)
plug(self.mocapSignal, self.chestMarkerMocapInISot.sin2)
self.chestMarkersSotInverse = Inverse_of_matrixHomo(
"chestMarkersSotInverse"
) #inverse of the homomatrix for position of markers in local sot
plug(self.chestMarkersSot.position, self.chestMarkersSotInverse.sin)
self.robotPositionISot = Multiply_of_matrixHomo("robotPositionInSot")
plug(self.chestMarkerMocapInISot.sout, self.robotPositionISot.sin1)
plug(self.chestMarkersSotInverse.sout, self.robotPositionISot.sin2)
self.robotPositionInMocap = Multiply_of_matrixHomo(
"robotPositionInMocap")
plug(self.mocapSignal, self.robotPositionInMocap.sin1)
plug(self.chestMarkersSotInverse.sout, self.robotPositionInMocap.sin2)
def test_translation(self):
tx = 11.; ty = 22.; tz = 33.
T = ((1., 0., 0., tx),
(0., 1., 0., ty),
(0., 0., 1., tz),
(0., 0., 0., 1.))
op = OpPointModifier('op2')
op.setTransformation(T)
op.positionIN.value = gaze
op.jacobianIN.value = Jgaze
op.position.recompute(1)
op.jacobian.recompute(1)
self.assertEqual(op.getTransformation(), T)
# w_M_s = w_M_g * g_M_s
w_M_g = np.asmatrix(gaze)
g_M_s = np.asmatrix(T)
w_M_s_ref = w_M_g * g_M_s
w_M_s = np.asmatrix(op.position.value)
# Check w_M_s == w_M_s_ref
self.assertEqual(np.equal(w_M_s, w_M_s_ref).all(), True)
twist = np.matrix(
[[1., 0., 0., 0., tz,-ty],
[0., 1., 0.,-tz, 0., tx],
[0., 0., 1., ty,-tx, 0.],
[0., 0., 0., 1., 0., 0.],
[0., 0., 0., 0., 1., 0.],
[0., 0., 0., 0., 0., 1.]])
J = np.asmatrix(op.jacobian.value)
J_ref = twist * Jgaze
# Check w_M_s == w_M_s_ref
self.assertEqual(np.equal(J, J_ref).all(), True)
def test_translation(self):
tx = 11.; ty = 22.; tz = 33.
T = ((1., 0., 0., tx),
(0., 1., 0., ty),
(0., 0., 1., tz),
(0., 0., 0., 1.))
op = OpPointModifier('op2')
op.setTransformation(T)
op.positionIN.value = gaze
op.jacobianIN.value = Jgaze
op.position.recompute(1)
op.jacobian.recompute(1)
self.assertEqual(op.getTransformation(), T)
# w_M_s = w_M_g * g_M_s
w_M_g = np.asmatrix(gaze)
g_M_s = np.asmatrix(T)
w_M_s_ref = w_M_g * g_M_s
w_M_s = np.asmatrix(op.position.value)
# Check w_M_s == w_M_s_ref
self.assertEqual(np.equal(w_M_s, w_M_s_ref).all(), True)
twist = np.matrix(
[[1., 0., 0., 0., tz,-ty],
[0., 1., 0.,-tz, 0., tx],
[0., 0., 1., ty,-tx, 0.],
[0., 0., 0., 1., 0., 0.],
[0., 0., 0., 0., 1., 0.],
[0., 0., 0., 0., 0., 1.]])
J = np.asmatrix(op.jacobian.value)
J_ref = twist * Jgaze
# Check w_M_s == w_M_s_ref
self.assertEqual(np.equal(J, J_ref).all(), True)
def test_rotation(self):
T = ((0., 0., 1., 0.),
(0.,-1., 0., 0.),
(1., 0., 0., 0.),
(0., 0., 0., 1.))
op = OpPointModifier('op3')
op.setTransformation(T)
op.positionIN.value = gaze
op.jacobianIN.value = Jgaze
op.position.recompute(1)
op.jacobian.recompute(1)
self.assertEqual(op.getTransformation(), T)
# w_M_s = w_M_g * g_M_s
w_M_g = np.asmatrix(gaze)
g_M_s = np.asmatrix(T)
w_M_s_ref = w_M_g * g_M_s
w_M_s = np.asmatrix(op.position.value)
# Check w_M_s == w_M_s_ref
self.assertEqual(np.equal(w_M_s, w_M_s_ref).all(), True)
twist = np.matrix(
[[0., 0., 1., 0., 0., 0.],
[0.,-1., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 1.],
[0., 0., 0., 0.,-1., 0.],
[0., 0., 0., 1., 0., 0.]])
J = np.asmatrix(op.jacobian.value)
J_ref = twist * Jgaze
# Check w_M_s == w_M_s_ref
self.assertEqual(np.equal(J, J_ref).all(), True)
def createContact(self,name, prl):
self.contactOpPoint = OpPointModifier(name+'_opPoint')
self.contactOpPoint.setEndEffector(False)
self.contactOpPoint.setTransformation(matrixToTuple(prl))
plug (self.robot.dynamic.chest,self.contactOpPoint.positionIN)
self.contactPos = MatrixHomoToPose(name+'_pos')
plug(self.contactOpPoint.position, self.contactPos.sin)
self.contact = Stack_of_vector (name)
plug(self.contactPos.sout,self.contact.sin1)
self.contact.sin2.value = (0,0,0)
self.contact.selec1 (0, 3)
self.contact.selec2 (0, 3)
return (self.contactOpPoint,self.contactPos,self.contact)
def __init__(self, robot, name='flextimator', useMocap=True, dt=0.005):
DGIMUModelBaseFlexEstimation.__init__(self,name)
self.setSamplingPeriod(dt)
self.robot = robot
initDevice(self.robot)
computeDynamic(self.robot,0)
# Covariances
self.setProcessNoiseCovariance(matrixToTuple(np.diag((1e-8,)*12+(1e-4,)*3+(1e-4,)*3+(1e-4,)*3+(1e-4,)*3+(1.e-2,)*6+(1e-15,)*2+(1.e-8,)*3)))
self.setMeasurementNoiseCovariance(matrixToTuple(np.diag((1e-3,)*3+(1e-6,)*3)))
self.setUnmodeledForceVariance(1e-13)
self.setForceVariance(1e-4)
self.setAbsolutePosVariance(1e-4)
# Contact model definition
# self.setKfe(matrixToTuple(np.diag((40000,40000,40000))))
self.setKfe(matrixToTuple(np.diag((150000,150000,150000))))
self.setKfv(matrixToTuple(np.diag((600,600,600))))
self.setKte(matrixToTuple(np.diag((600,600,600))))
self.setKtv(matrixToTuple(np.diag((10,10,10))))
self.setKfeRopes(matrixToTuple(np.diag((10000,10000,10000))))
self.setKfvRopes(matrixToTuple(np.diag((300,300,800))))
self.setKteRopes(matrixToTuple(np.diag((600,600,600))))
self.setKtvRopes(matrixToTuple(np.diag((60,60,60))))
# Estimator interface
self.interface=EstimatorInterface(name+"EstimatorInterface")
self.interface.setSamplingPeriod(dt)
self.interface.setLeftHandSensorTransformation((0.,0.,1.57))
self.interface.setRightHandSensorTransformation((0.,0.,1.57))
# State and measurement definition
self.interface.setWithUnmodeledMeasurements(False)
self.interface.setWithModeledForces(True)
self.interface.setWithAbsolutePose(False)
self.setWithComBias(False)
# Contacts velocities
self.leftFootVelocity = Multiply_matrix_vector ('leftFootVelocity')
plug(self.robot.frames['leftFootForceSensor'].jacobian,self.leftFootVelocity.sin1)
plug(self.robot.device.velocity,self.leftFootVelocity.sin2)
self.rightFootVelocity = Multiply_matrix_vector ('rightFootVelocity')
plug(self.robot.frames['rightFootForceSensor'].jacobian,self.rightFootVelocity.sin1)
plug(self.robot.device.velocity,self.rightFootVelocity.sin2)
self.interface.setFDInertiaDot(True)
# Contacts forces, positions and velocities
# Feet
plug (self.robot.device.forceLLEG,self.interface.force_lf)
plug (self.robot.device.forceRLEG,self.interface.force_rf)
plug (self.robot.frames['leftFootForceSensor'].position,self.interface.position_lf)
plug (self.robot.frames['rightFootForceSensor'].position,self.interface.position_rf)
plug (self.leftFootVelocity.sout,self.interface.velocity_lf)
plug (self.rightFootVelocity.sout,self.interface.velocity_rf)
# Hands
plug (self.robot.device.forceLARM,self.interface.force_lh)
plug (self.robot.device.forceRARM,self.interface.force_rh)
plug (self.robot.dynamic.signal('right-wrist'),self.interface.position_lh)
plug (self.robot.dynamic.signal('left-wrist'),self.interface.position_rh)
# Strings
self.Peg = (0,0,4.60) # Position of the anchorage in the global frame
self.setPe(self.Peg)
self.Prl1 = np.matrix([[1,0,0,0-3.19997004e-02],[0,1,0,0.15-0],[0,0,1,1.28-1],[0,0,0,1]]) # Positions of the contacts on the robot (in the local frame) with respect to the chest
self.Prl2 = np.matrix([[1,0,0,0-3.19997004e-02],[0,1,0,-0.15-0],[0,0,1,1.28-1],[0,0,0,1]])
(self.contact1OpPoint,self.contact1Pos,self.contact1)=self.createContact('contact1', self.Prl1)
(self.contact2OpPoint,self.contact2Pos,self.contact2)=self.createContact('contact2', self.Prl2)
plug(self.contact1.sout,self.interface.position_ls)
plug(self.contact2.sout,self.interface.position_rs)
# Contacts model and config
plug(self.interface.contactsModel,self.contactsModel)
self.setWithConfigSignal(True)
plug(self.interface.config,self.config)
if(useMocap):
# Mocap signal
self.ros = RosExport('rosExportMocap')
self.ros.add('matrixHomoStamped', "chest", "/evart/hrp2_14_head/hrp2_14_head")
# Filtering
from dynamic_graph.sot.tools import MocapDataFilter
self.mocapFilter = MocapDataFilter('MocapDataFilter')
plug(self.ros.signal('chest'),self.mocapFilter.sin)
self.mocapSignal = self.mocapFilter.sout
# Drift
self.drift = DriftFromMocap(name+'Drift')
plug(self.mocapSignal,self.drift.limbGlobal)
plug(self.robot.dynamic.chest,self.drift.limbLocal)
self.drift.init()
plug(self.drift.driftInvVector,self.interface.drift)
# Measurement reconstruction
plug(self.robot.device.accelerometer,self.interface.accelerometer)
plug(self.robot.device.gyrometer,self.interface.gyrometer)
plug(self.interface.measurement,self.measurement)
# Input reconstruction
# IMU Vector
self.inputPos = MatrixHomoToPoseUTheta(name+'InputPosition')
plug(robot.frames['accelerometer'].position,self.inputPos.sin)
self.robot.dynamic.createJacobian(name+'ChestJ_OpPoint','chest')
self.imuOpPoint = OpPointModifier(name+'IMU_oppoint')
self.imuOpPoint.setEndEffector(False)
self.imuOpPoint.setTransformation(matrixToTuple(np.linalg.inv(np.matrix(self.robot.dynamic.chest.value))*np.matrix(self.robot.frames['accelerometer'].position.value)))
plug (self.robot.dynamic.chest,self.imuOpPoint.positionIN)
plug (self.robot.dynamic.signal(name+'ChestJ_OpPoint'),self.imuOpPoint.jacobianIN)
self.inputVel = Multiply_matrix_vector(name+'InputVelocity')
plug(self.imuOpPoint.jacobian,self.inputVel.sin1)
plug(self.robot.device.velocity,self.inputVel.sin2)
self.inputPosVel = Stack_of_vector (name+'InputPosVel')
plug(self.inputPos.sout,self.inputPosVel.sin1)
plug(self.inputVel.sout,self.inputPosVel.sin2)
self.inputPosVel.selec1 (0, 6)
self.inputPosVel.selec2 (0, 6)
self.IMUVector = PositionStateReconstructor (name+'EstimatorInput')
self.IMUVector.setSamplingPeriod(dt)
plug(self.inputPosVel.sout,self.IMUVector.sin)
self.IMUVector.inputFormat.value = '001111'
self.IMUVector.outputFormat.value = '011111'
self.IMUVector.setFiniteDifferencesInterval(1)
self.inputPosVel.sout.recompute(0)
self.IMUVector.setLastVector(self.inputPosVel.sout.value+(0.,)*6)
# CoM and derivatives
self.com=self.robot.dynamic.com
self.DCom = Multiply_matrix_vector(name+'DCom')
plug(self.robot.dynamic.Jcom,self.DCom.sin1)
plug(self.robot.device.velocity,self.DCom.sin2)
self.comVectorIn = Stack_of_vector (name+'ComVectorIn')
plug(self.com,self.comVectorIn.sin1)
plug(self.DCom.sout,self.comVectorIn.sin2)
self.comVectorIn.selec1 (0, 3)
self.comVectorIn.selec2 (0, 3)
self.comVector = PositionStateReconstructor (name+'ComVector')
self.comVector.setSamplingPeriod(dt)
plug(self.comVectorIn.sout,self.comVector.sin)
self.comVector.inputFormat.value = '000101'
self.comVector.outputFormat.value = '010101'
self.comVector.setFiniteDifferencesInterval(1)
self.DCom.sout.recompute(0)
self.comVector.setLastVector(self.com.value+(0.,)*15)#(0.,)*3+self.DCom.sout.value+(0.,)*9)
# Compute derivative of Angular Momentum
self.angMomDerivator = Derivator_of_Vector(name+'angMomDerivator')
plug(self.robot.dynamic.angularmomentum,self.angMomDerivator.sin)
self.angMomDerivator.dt.value = dt
# self.angMomDerivator = PositionStateReconstructor (name+'angMomDerivator')
# self.angMomDerivator.setSamplingPeriod(dt)
# plug(self.robot.dynamic.angularmomentum,self.angMomDerivator.sin)
# self.angMomDerivator.inputFormat.value = '000001'
# self.angMomDerivator.outputFormat.value = '000100'
# self.angMomDerivator.setFiniteDifferencesInterval(2)
# self.robot.dynamic.angularmomentum.recompute(0)
# self.angMomDerivator.setLastVector(self.robot.dynamic.angularmomentum.value+(0.,)*15)
# Concatenate with interface estimator
plug(self.comVector.sout,self.interface.comVector)
plug(self.robot.dynamic.inertia,self.interface.inertia)
self.interface.dinertia.value=(0,0,0,0,0,0)
plug(self.robot.dynamic.angularmomentum,self.interface.angMomentum)
plug(self.angMomDerivator.sout,self.interface.dangMomentum)
plug(self.robot.dynamic.waist,self.interface.positionWaist)
plug(self.IMUVector.sout,self.interface.imuVector)
plug(self.interface.input,self.input)
plug (self.interface.modeledContactsNbr,self.contactNbr)
self.robot.flextimator = self
class MetaTaskVisualPoint(object):
name = ''
opPoint = ''
dyn = 0
task = 0
feature = 0
featureDes = 0
proj = 0
def opPointExist(self, opPoint):
sigsP = filter(lambda x: x.getName().split(':')[-1] == opPoint,
self.dyn.signals())
sigsJ = filter(lambda x: x.getName().split(':')[-1] == 'J' + opPoint,
self.dyn.signals())
return len(sigsP) == 1 & len(sigsJ) == 1
def defineDynEntities(self, dyn):
self.dyn = dyn
def createOpPoint(self, opPoint, opPointRef='right-wrist'):
self.opPoint = opPoint
if self.opPointExist(opPoint):
return
self.dyn.createOpPoint(opPoint, opPointRef)
def createOpPointModif(self):
self.opPointModif = OpPointModifier('opmodif' + self.name)
plug(self.dyn.signal(self.opPoint),
self.opPointModif.signal('positionIN'))
plug(self.dyn.signal('J' + self.opPoint),
self.opPointModif.signal('jacobianIN'))
self.opPointModif.activ = False
def createFeatures(self):
self.feature = FeatureVisualPoint('feature' + self.name)
self.featureDes = FeatureVisualPoint('feature' + self.name + '_ref')
self.feature.selec.value = '11'
def createTask(self):
self.task = Task('task' + self.name)
def createGain(self):
self.gain = GainAdaptive('gain' + self.name)
self.gain.set(0.1, 0.1, 125e3)
def createProj(self):
self.proj = VisualPointProjecter('proj' + self.name)
def plugEverything(self):
self.feature.setReference(self.featureDes.name)
plug(self.dyn.signal(self.opPoint), self.proj.signal('transfo'))
plug(self.proj.signal('point2D'), self.feature.signal('xy'))
plug(self.proj.signal('depth'), self.feature.signal('Z'))
plug(self.dyn.signal('J' + self.opPoint), self.feature.signal('Jq'))
self.task.add(self.feature.name)
plug(self.task.error, self.gain.error)
plug(self.gain.gain, self.task.controlGain)
def __init__(self, name, dyn, opPoint, opPointRef='right-wrist'):
self.name = name
self.defineDynEntities(dyn)
self.createOpPoint(opPoint, opPointRef)
self.createOpPointModif()
self.createFeatures()
self.createTask()
self.createGain()
self.createProj()
self.plugEverything()
@property
def ref(self):
return self.featureDes.xy.value
@ref.setter
def ref(self, m):
self.featureDes.xy.value = m
@property
def target(self):
return self.proj.point3D
@target.setter
def target(self, m):
self.proj.point3D.value = m
@property
def opmodif(self):
if not self.opPointModif.activ:
return False
else:
return self.opPointModif.getTransformation()
@opmodif.setter
def opmodif(self, m):
if isinstance(m, bool) and not m:
plug(self.dyn.signal(self.opPoint), self.proj.signal('transfo'))
plug(self.dyn.signal('J' + self.opPoint),
self.feature.signal('Jq'))
self.opPointModif.activ = False
else:
if not self.opPointModif.activ:
plug(self.opPointModif.signal('position'),
self.proj.signal('transfo'))
plug(self.opPointModif.signal('jacobian'),
self.feature.signal('Jq'))
self.opPointModif.setTransformation(m)
self.opPointModif.activ = True
def goto3D(self, point3D, gain=None, ref2D=None, selec=None):
self.target = point3D
if ref2D is not None:
self.ref = ref2D
if selec is not None:
self.feature.selec.value = selec
setGain(self.gain, gain)
def __init__(self, robot, name='flextimator2'):
DGIMUModelBaseFlexEstimation.__init__(self,name)
self.setSamplingPeriod(0.005)
self.robot = robot
# Definition of IMU vector
self.sensorStack = Stack_of_vector (name+'Sensors')
plug(self.robot.device.accelerometer,self.sensorStack.sin1)
plug(self.robot.device.gyrometer,self.sensorStack.sin2)
self.sensorStack.selec1 (0, 3)
self.sensorStack.selec2 (0, 3)
# Calibration
self.calibration= Calibrate('calibration')
plug(self.sensorStack.sout,self.calibration.imuIn)
plug(self.robot.dynamic.com,self.calibration.comIn)
plug(self.calibration.imuOut,self.measurement)
self.inputPos = MatrixHomoToPoseUTheta(name+'InputPosition')
plug(robot.frames['accelerometer'].position,self.inputPos.sin)
self.robot.dynamic.createJacobian('ChestJ_OpPoint','chest')
self.imuOpPoint = OpPointModifier('IMU_oppoint')
self.imuOpPoint.setEndEffector(False)
self.imuOpPoint.setTransformation(matrixToTuple(np.linalg.inv(np.matrix(self.robot.dynamic.chest.value))*np.matrix(self.robot.frames['accelerometer'].position.value)))
plug (self.robot.dynamic.chest,self.imuOpPoint.positionIN)
plug (self.robot.dynamic.signal('ChestJ_OpPoint'),self.imuOpPoint.jacobianIN)
self.inputVel = Multiply_matrix_vector(name+'InputVelocity')
plug(self.imuOpPoint.jacobian,self.inputVel.sin1)
plug(self.robot.device.velocity,self.inputVel.sin2)
self.inputPosVel = Stack_of_vector (name+'InputPosVel')
plug(self.inputPos.sout,self.inputPosVel.sin1)
plug(self.inputVel.sout,self.inputPosVel.sin2)
self.inputPosVel.selec1 (0, 6)
self.inputPosVel.selec2 (0, 6)
self.IMUVector = PositionStateReconstructor (name+'EstimatorInput')
plug(self.inputPosVel.sout,self.IMUVector.sin)
self.IMUVector.inputFormat.value = '001111'
self.IMUVector.outputFormat.value = '011111'
self.IMUVector.setFiniteDifferencesInterval(2)
# Definition of inertia, angular momentum and derivatives
self.robot.dynamic.inertia.recompute(0)
self.inertia=self.robot.dynamic.inertia #(48.2378,48.2378,2.87339,0,0,0) #
self.dotInertia=(0,0,0,0,0,0)
self.zeroMomentum=(0,0,0,0,0,0)
# Waist position
self.robot.dynamic.waist.recompute(0)
#self.robot.dynamic.chest.recompute(1)
#self.robot.dynamic.com.recompute(1)
self.positionWaist=self.robot.dynamic.waist
# Definition of com and derivatives
self.com=self.calibration.comOut #self.robot.dynamic.com
self.DCom = Multiply_matrix_vector(name+'DCom')
self.robot.dynamic.Jcom.recompute(0)
plug(self.robot.dynamic.Jcom,self.DCom.sin1)
plug(self.robot.device.velocity,self.DCom.sin2)
self.comVectorIn = Stack_of_vector (name+'ComVectorIn')
plug(self.calibration.comOut,self.comVectorIn.sin1)
plug(self.DCom.sout,self.comVectorIn.sin2)
self.comVectorIn.selec1 (0, 3)
self.comVectorIn.selec2 (0, 3)
self.comVector = PositionStateReconstructor (name+'ComVector')
plug(self.comVectorIn.sout,self.comVector.sin)
self.comVector.inputFormat.value = '000101'
self.comVector.outputFormat.value = '010101'
# Concatenate with InputReconstructor entity
self.inputVector=InputReconstructor(name+'inputVector')
plug(self.comVector.sout,self.inputVector.comVector)
plug(self.inertia,self.inputVector.inertia)
self.inputVector.dinertia.value=self.dotInertia
plug(self.positionWaist,self.inputVector.positionWaist)
self.inputVector.setSamplingPeriod(robot.timeStep)
self.inputVector.setFDInertiaDot(True)
plug(self.robot.dynamic.angularmomentum,self.inputVector.angMomentum)
self.angMomDerivator = Derivator_of_Vector('angMomDerivator')
plug(self.robot.dynamic.angularmomentum,self.angMomDerivator.sin)
self.angMomDerivator.dt.value = self.robot.timeStep
plug(self.angMomDerivator.sout,self.inputVector.dangMomentum)
#self.inputVector.dangMomentum.value = self.zeroMomentum
plug(self.IMUVector.sout,self.inputVector.imuVector)
plug(self.contactNbr,self.inputVector.nbContacts)
# plug(self.contacts,self.inputVector.contactsPosition)
plug(self.inputVector.input,self.input)
self.robot.flextimator = self
kfe=40000
kfv=600
kte=600
ktv=60
self.setKfe(matrixToTuple(np.diag((kfe,kfe,kfe))))
self.setKfv(matrixToTuple(np.diag((kfv,kfv,kfv))))
self.setKte(matrixToTuple(np.diag((kte,kte,kte))))
self.setKtv(matrixToTuple(np.diag((ktv,ktv,ktv))))
def createOpPointModifBase(self):
self.opPointModifBase = OpPointModifier('opmodifBase' + self.name)
plug(self.dyn.signal(self.opPointBase), self.opPointModifBase.signal('positionIN'))
plug(self.dyn.signal('J' + self.opPointBase), self.opPointModifBase.signal('jacobianIN'))
self.opPointModifBase.activ = False
def __init__(self, robot, name='flextimatorEncoders'):
DGIMUModelBaseFlexEstimation.__init__(self, name)
self.setSamplingPeriod(0.005)
self.robot = robot
# Covariances
self.setProcessNoiseCovariance(
matrixToTuple(
np.diag((1e-8, ) * 12 + (1e-4, ) * 3 + (1e-4, ) * 3 +
(1e-4, ) * 3 + (1e-4, ) * 3 + (1.e-2, ) * 6 +
(1e-15, ) * 2 + (1.e-8, ) * 3)))
self.setMeasurementNoiseCovariance(
matrixToTuple(np.diag((1e-3, ) * 3 + (1e-6, ) * 3)))
self.setUnmodeledForceVariance(1e-13)
self.setForceVariance(1e-4)
self.setAbsolutePosVariance(1e-4)
# Contact model definition
self.setContactModel(1)
self.setKfe(matrixToTuple(np.diag((40000, 40000, 40000))))
self.setKfv(matrixToTuple(np.diag((600, 600, 600))))
self.setKte(matrixToTuple(np.diag((600, 600, 600))))
self.setKtv(matrixToTuple(np.diag((60, 60, 60))))
#Estimator interface
self.interface = EstimatorInterface(name + "EstimatorInterface")
self.interface.setLeftHandSensorTransformation((0., 0., 1.57))
self.interface.setRightHandSensorTransformation((0., 0., 1.57))
self.interface.setFDInertiaDot(True)
# State and measurement definition
self.interface.setWithUnmodeledMeasurements(False)
self.interface.setWithModeledForces(True)
self.interface.setWithAbsolutePose(False)
self.setWithComBias(False)
# Contacts forces
plug(self.robot.device.forceLLEG, self.interface.force_lf)
plug(self.robot.device.forceRLEG, self.interface.force_rf)
plug(self.robot.device.forceLARM, self.interface.force_lh)
plug(self.robot.device.forceRARM, self.interface.force_rh)
# Selecting robotState
self.robot.device.robotState.value = 46 * (0., )
self.robotState = Selec_of_vector('robotState')
plug(self.robot.device.robotState, self.robotState.sin)
self.robotState.selec(0, 36)
# Reconstruction of the position of the free flyer from encoders
# Create dynamic with the free flyer at the origin of the control frame
self.robot.dynamicOdo = self.createDynamic(self.robotState.sout,
'_dynamicOdo')
self.robot.dynamicOdo.inertia.recompute(1)
self.robot.dynamicOdo.waist.recompute(1)
# Reconstruction of the position of the contacts in dynamicOdo
self.leftFootPosOdo = Multiply_of_matrixHomo(name + "leftFootPosOdo")
plug(self.robot.dynamicOdo.signal('left-ankle'),
self.leftFootPosOdo.sin1)
self.leftFootPosOdo.sin2.value = self.robot.forceSensorInLeftAnkle
self.rightFootPosOdo = Multiply_of_matrixHomo(name + "rightFootPosOdo")
plug(self.robot.dynamicOdo.signal('right-ankle'),
self.rightFootPosOdo.sin1)
self.rightFootPosOdo.sin2.value = self.robot.forceSensorInRightAnkle
# Odometry
self.odometry = Odometry(name + 'odometry')
plug(self.robot.frames['leftFootForceSensor'].position,
self.odometry.leftFootPositionRef)
plug(self.robot.frames['rightFootForceSensor'].position,
self.odometry.rightFootPositionRef)
plug(self.rightFootPosOdo.sout, self.odometry.rightFootPositionIn)
plug(self.leftFootPosOdo.sout, self.odometry.leftFootPositionIn)
plug(self.robot.device.forceLLEG, self.odometry.force_lf)
plug(self.robot.device.forceRLEG, self.odometry.force_rf)
self.odometry.setLeftFootPosition(
self.robot.frames['leftFootForceSensor'].position.value)
self.odometry.setRightFootPosition(
self.robot.frames['rightFootForceSensor'].position.value)
plug(self.interface.stackOfSupportContacts,
self.odometry.stackOfSupportContacts)
# Create dynamicEncoders
self.robotStateWoFF = Selec_of_vector('robotStateWoFF')
plug(self.robot.device.robotState, self.robotStateWoFF.sin)
self.robotStateWoFF.selec(6, 36)
self.stateEncoders = Stack_of_vector(name + 'stateEncoders')
plug(self.odometry.freeFlyer, self.stateEncoders.sin1)
plug(self.robotStateWoFF.sout, self.stateEncoders.sin2)
self.stateEncoders.selec1(0, 6)
self.stateEncoders.selec2(0, 30)
self.robot.dynamicEncoders = self.createDynamic(
self.stateEncoders.sout, '_dynamicEncoders')
# self.robot.dynamicEncoders=self.createDynamic(self.robotState.sout,'_dynamicEncoders')
# plug(self.odometry.freeFlyer,self.robot.dynamicEncoders.ffposition)
# self.robot.dynamicEncoders=self.createDynamic(self.robot.device.state,'_dynamicEncoders')
# Reconstruction of the position of the contacts in dynamicEncoders
self.leftFootPos = Multiply_of_matrixHomo("leftFootPos")
plug(self.robot.dynamicEncoders.signal('left-ankle'),
self.leftFootPos.sin1)
self.leftFootPos.sin2.value = self.robot.forceSensorInLeftAnkle
self.rightFootPos = Multiply_of_matrixHomo("rightFootPos")
plug(self.robot.dynamicEncoders.signal('right-ankle'),
self.rightFootPos.sin1)
self.rightFootPos.sin2.value = self.robot.forceSensorInRightAnkle
# Contacts velocities
self.leftFootVelocity = Multiply_matrix_vector('leftFootVelocity')
plug(self.robot.frames['leftFootForceSensor'].jacobian,
self.leftFootVelocity.sin1)
plug(self.robot.dynamicEncoders.velocity, self.leftFootVelocity.sin2)
self.rightFootVelocity = Multiply_matrix_vector('rightFootVelocity')
plug(self.robot.frames['rightFootForceSensor'].jacobian,
self.rightFootVelocity.sin1)
plug(self.robot.dynamicEncoders.velocity, self.rightFootVelocity.sin2)
# Contacts positions and velocities
plug(self.leftFootPos.sout, self.interface.position_lf)
plug(self.rightFootPos.sout, self.interface.position_rf)
plug(self.leftFootVelocity.sout, self.interface.velocity_lf)
plug(self.rightFootVelocity.sout, self.interface.velocity_rf)
plug(self.robot.dynamicEncoders.signal('right-wrist'),
self.interface.position_lh)
plug(self.robot.dynamicEncoders.signal('left-wrist'),
self.interface.position_rh)
# Compute contacts number
plug(self.interface.supportContactsNbr, self.contactNbr)
# Contacts model and config
plug(self.interface.contactsModel, self.contactsModel)
self.setWithConfigSignal(True)
plug(self.interface.config, self.config)
# Drift
self.drift = DriftFromMocap(name + 'Drift')
# Compute measurement vector
plug(self.robot.device.accelerometer, self.interface.accelerometer)
plug(self.robot.device.gyrometer, self.interface.gyrometer)
plug(self.drift.driftVector, self.interface.drift)
plug(self.interface.measurement, self.measurement)
# Input reconstruction
# IMU Vector
# Creating an operational point for the IMU
self.robot.dynamicEncoders.createJacobian(name + 'ChestJ_OpPoint',
'chest')
self.imuOpPoint = OpPointModifier(name + 'IMU_oppoint')
self.imuOpPoint.setTransformation(
matrixToTuple(
np.linalg.inv(np.matrix(
self.robot.dynamicEncoders.chest.value)) *
np.matrix(self.robot.frames['accelerometer'].position.value)))
self.imuOpPoint.setEndEffector(False)
plug(self.robot.dynamicEncoders.chest, self.imuOpPoint.positionIN)
plug(self.robot.dynamicEncoders.signal(name + 'ChestJ_OpPoint'),
self.imuOpPoint.jacobianIN)
# IMU position
self.PosAccelerometer = Multiply_of_matrixHomo(name +
"PosAccelerometer")
plug(self.robot.dynamicEncoders.chest, self.PosAccelerometer.sin1)
self.PosAccelerometer.sin2.value = matrixToTuple(
self.robot.accelerometerPosition)
self.inputPos = MatrixHomoToPoseUTheta(name + 'InputPosition')
plug(self.PosAccelerometer.sout, self.inputPos.sin)
# IMU velocity
self.inputVel = Multiply_matrix_vector(name + 'InputVelocity')
plug(self.imuOpPoint.jacobian, self.inputVel.sin1)
plug(self.robot.dynamicEncoders.velocity, self.inputVel.sin2)
# Concatenate
self.inputPosVel = Stack_of_vector(name + 'InputPosVel')
plug(self.inputPos.sout, self.inputPosVel.sin1)
plug(self.inputVel.sout, self.inputPosVel.sin2)
self.inputPosVel.selec1(0, 6)
self.inputPosVel.selec2(0, 6)
# IMU Vector
self.IMUVector = PositionStateReconstructor(name + 'EstimatorInput')
plug(self.inputPosVel.sout, self.IMUVector.sin)
self.IMUVector.inputFormat.value = '001111'
self.IMUVector.outputFormat.value = '011111'
self.IMUVector.setFiniteDifferencesInterval(2)
# CoM and derivatives
self.comIn = self.robot.dynamicEncoders.com
self.comVector = PositionStateReconstructor(name + 'ComVector')
plug(self.comIn, self.comVector.sin)
self.comVector.inputFormat.value = '000001'
self.comVector.outputFormat.value = '010101'
self.comVector.setFiniteDifferencesInterval(20)
# Compute derivative of Angular Momentum
self.angMomDerivator = Derivator_of_Vector(name + 'angMomDerivator')
plug(self.robot.dynamicEncoders.angularmomentum,
self.angMomDerivator.sin)
self.angMomDerivator.dt.value = self.robot.timeStep
# Concatenate with interace estimator
plug(self.comVector.sout, self.interface.comVector)
plug(self.robot.dynamicEncoders.inertia, self.interface.inertia)
plug(self.robot.dynamicEncoders.angularmomentum,
self.interface.angMomentum)
plug(self.angMomDerivator.sout, self.interface.dangMomentum)
self.interface.dinertia.value = (0, 0, 0, 0, 0, 0)
plug(self.robot.dynamicEncoders.waist, self.interface.positionWaist)
plug(self.IMUVector.sout, self.interface.imuVector)
plug(self.interface.input, self.input)
self.robot.flextimator = self
class HRP2ModelBaseFlexEstimatorIMUForceEncoders(DGIMUModelBaseFlexEstimation):
def __init__(self, robot, name='flextimatorEncoders'):
DGIMUModelBaseFlexEstimation.__init__(self, name)
self.setSamplingPeriod(0.005)
self.robot = robot
# Covariances
self.setProcessNoiseCovariance(
matrixToTuple(
np.diag((1e-8, ) * 12 + (1e-4, ) * 3 + (1e-4, ) * 3 +
(1e-4, ) * 3 + (1e-4, ) * 3 + (1.e-2, ) * 6 +
(1e-15, ) * 2 + (1.e-8, ) * 3)))
self.setMeasurementNoiseCovariance(
matrixToTuple(np.diag((1e-3, ) * 3 + (1e-6, ) * 3)))
self.setUnmodeledForceVariance(1e-13)
self.setForceVariance(1e-4)
self.setAbsolutePosVariance(1e-4)
# Contact model definition
self.setContactModel(1)
self.setKfe(matrixToTuple(np.diag((40000, 40000, 40000))))
self.setKfv(matrixToTuple(np.diag((600, 600, 600))))
self.setKte(matrixToTuple(np.diag((600, 600, 600))))
self.setKtv(matrixToTuple(np.diag((60, 60, 60))))
#Estimator interface
self.interface = EstimatorInterface(name + "EstimatorInterface")
self.interface.setLeftHandSensorTransformation((0., 0., 1.57))
self.interface.setRightHandSensorTransformation((0., 0., 1.57))
self.interface.setFDInertiaDot(True)
# State and measurement definition
self.interface.setWithUnmodeledMeasurements(False)
self.interface.setWithModeledForces(True)
self.interface.setWithAbsolutePose(False)
self.setWithComBias(False)
# Contacts forces
plug(self.robot.device.forceLLEG, self.interface.force_lf)
plug(self.robot.device.forceRLEG, self.interface.force_rf)
plug(self.robot.device.forceLARM, self.interface.force_lh)
plug(self.robot.device.forceRARM, self.interface.force_rh)
# Selecting robotState
self.robot.device.robotState.value = 46 * (0., )
self.robotState = Selec_of_vector('robotState')
plug(self.robot.device.robotState, self.robotState.sin)
self.robotState.selec(0, 36)
# Reconstruction of the position of the free flyer from encoders
# Create dynamic with the free flyer at the origin of the control frame
self.robot.dynamicOdo = self.createDynamic(self.robotState.sout,
'_dynamicOdo')
self.robot.dynamicOdo.inertia.recompute(1)
self.robot.dynamicOdo.waist.recompute(1)
# Reconstruction of the position of the contacts in dynamicOdo
self.leftFootPosOdo = Multiply_of_matrixHomo(name + "leftFootPosOdo")
plug(self.robot.dynamicOdo.signal('left-ankle'),
self.leftFootPosOdo.sin1)
self.leftFootPosOdo.sin2.value = self.robot.forceSensorInLeftAnkle
self.rightFootPosOdo = Multiply_of_matrixHomo(name + "rightFootPosOdo")
plug(self.robot.dynamicOdo.signal('right-ankle'),
self.rightFootPosOdo.sin1)
self.rightFootPosOdo.sin2.value = self.robot.forceSensorInRightAnkle
# Odometry
self.odometry = Odometry(name + 'odometry')
plug(self.robot.frames['leftFootForceSensor'].position,
self.odometry.leftFootPositionRef)
plug(self.robot.frames['rightFootForceSensor'].position,
self.odometry.rightFootPositionRef)
plug(self.rightFootPosOdo.sout, self.odometry.rightFootPositionIn)
plug(self.leftFootPosOdo.sout, self.odometry.leftFootPositionIn)
plug(self.robot.device.forceLLEG, self.odometry.force_lf)
plug(self.robot.device.forceRLEG, self.odometry.force_rf)
self.odometry.setLeftFootPosition(
self.robot.frames['leftFootForceSensor'].position.value)
self.odometry.setRightFootPosition(
self.robot.frames['rightFootForceSensor'].position.value)
plug(self.interface.stackOfSupportContacts,
self.odometry.stackOfSupportContacts)
# Create dynamicEncoders
self.robotStateWoFF = Selec_of_vector('robotStateWoFF')
plug(self.robot.device.robotState, self.robotStateWoFF.sin)
self.robotStateWoFF.selec(6, 36)
self.stateEncoders = Stack_of_vector(name + 'stateEncoders')
plug(self.odometry.freeFlyer, self.stateEncoders.sin1)
plug(self.robotStateWoFF.sout, self.stateEncoders.sin2)
self.stateEncoders.selec1(0, 6)
self.stateEncoders.selec2(0, 30)
self.robot.dynamicEncoders = self.createDynamic(
self.stateEncoders.sout, '_dynamicEncoders')
# self.robot.dynamicEncoders=self.createDynamic(self.robotState.sout,'_dynamicEncoders')
# plug(self.odometry.freeFlyer,self.robot.dynamicEncoders.ffposition)
# self.robot.dynamicEncoders=self.createDynamic(self.robot.device.state,'_dynamicEncoders')
# Reconstruction of the position of the contacts in dynamicEncoders
self.leftFootPos = Multiply_of_matrixHomo("leftFootPos")
plug(self.robot.dynamicEncoders.signal('left-ankle'),
self.leftFootPos.sin1)
self.leftFootPos.sin2.value = self.robot.forceSensorInLeftAnkle
self.rightFootPos = Multiply_of_matrixHomo("rightFootPos")
plug(self.robot.dynamicEncoders.signal('right-ankle'),
self.rightFootPos.sin1)
self.rightFootPos.sin2.value = self.robot.forceSensorInRightAnkle
# Contacts velocities
self.leftFootVelocity = Multiply_matrix_vector('leftFootVelocity')
plug(self.robot.frames['leftFootForceSensor'].jacobian,
self.leftFootVelocity.sin1)
plug(self.robot.dynamicEncoders.velocity, self.leftFootVelocity.sin2)
self.rightFootVelocity = Multiply_matrix_vector('rightFootVelocity')
plug(self.robot.frames['rightFootForceSensor'].jacobian,
self.rightFootVelocity.sin1)
plug(self.robot.dynamicEncoders.velocity, self.rightFootVelocity.sin2)
# Contacts positions and velocities
plug(self.leftFootPos.sout, self.interface.position_lf)
plug(self.rightFootPos.sout, self.interface.position_rf)
plug(self.leftFootVelocity.sout, self.interface.velocity_lf)
plug(self.rightFootVelocity.sout, self.interface.velocity_rf)
plug(self.robot.dynamicEncoders.signal('right-wrist'),
self.interface.position_lh)
plug(self.robot.dynamicEncoders.signal('left-wrist'),
self.interface.position_rh)
# Compute contacts number
plug(self.interface.supportContactsNbr, self.contactNbr)
# Contacts model and config
plug(self.interface.contactsModel, self.contactsModel)
self.setWithConfigSignal(True)
plug(self.interface.config, self.config)
# Drift
self.drift = DriftFromMocap(name + 'Drift')
# Compute measurement vector
plug(self.robot.device.accelerometer, self.interface.accelerometer)
plug(self.robot.device.gyrometer, self.interface.gyrometer)
plug(self.drift.driftVector, self.interface.drift)
plug(self.interface.measurement, self.measurement)
# Input reconstruction
# IMU Vector
# Creating an operational point for the IMU
self.robot.dynamicEncoders.createJacobian(name + 'ChestJ_OpPoint',
'chest')
self.imuOpPoint = OpPointModifier(name + 'IMU_oppoint')
self.imuOpPoint.setTransformation(
matrixToTuple(
np.linalg.inv(np.matrix(
self.robot.dynamicEncoders.chest.value)) *
np.matrix(self.robot.frames['accelerometer'].position.value)))
self.imuOpPoint.setEndEffector(False)
plug(self.robot.dynamicEncoders.chest, self.imuOpPoint.positionIN)
plug(self.robot.dynamicEncoders.signal(name + 'ChestJ_OpPoint'),
self.imuOpPoint.jacobianIN)
# IMU position
self.PosAccelerometer = Multiply_of_matrixHomo(name +
"PosAccelerometer")
plug(self.robot.dynamicEncoders.chest, self.PosAccelerometer.sin1)
self.PosAccelerometer.sin2.value = matrixToTuple(
self.robot.accelerometerPosition)
self.inputPos = MatrixHomoToPoseUTheta(name + 'InputPosition')
plug(self.PosAccelerometer.sout, self.inputPos.sin)
# IMU velocity
self.inputVel = Multiply_matrix_vector(name + 'InputVelocity')
plug(self.imuOpPoint.jacobian, self.inputVel.sin1)
plug(self.robot.dynamicEncoders.velocity, self.inputVel.sin2)
# Concatenate
self.inputPosVel = Stack_of_vector(name + 'InputPosVel')
plug(self.inputPos.sout, self.inputPosVel.sin1)
plug(self.inputVel.sout, self.inputPosVel.sin2)
self.inputPosVel.selec1(0, 6)
self.inputPosVel.selec2(0, 6)
# IMU Vector
self.IMUVector = PositionStateReconstructor(name + 'EstimatorInput')
plug(self.inputPosVel.sout, self.IMUVector.sin)
self.IMUVector.inputFormat.value = '001111'
self.IMUVector.outputFormat.value = '011111'
self.IMUVector.setFiniteDifferencesInterval(2)
# CoM and derivatives
self.comIn = self.robot.dynamicEncoders.com
self.comVector = PositionStateReconstructor(name + 'ComVector')
plug(self.comIn, self.comVector.sin)
self.comVector.inputFormat.value = '000001'
self.comVector.outputFormat.value = '010101'
self.comVector.setFiniteDifferencesInterval(20)
# Compute derivative of Angular Momentum
self.angMomDerivator = Derivator_of_Vector(name + 'angMomDerivator')
plug(self.robot.dynamicEncoders.angularmomentum,
self.angMomDerivator.sin)
self.angMomDerivator.dt.value = self.robot.timeStep
# Concatenate with interace estimator
plug(self.comVector.sout, self.interface.comVector)
plug(self.robot.dynamicEncoders.inertia, self.interface.inertia)
plug(self.robot.dynamicEncoders.angularmomentum,
self.interface.angMomentum)
plug(self.angMomDerivator.sout, self.interface.dangMomentum)
self.interface.dinertia.value = (0, 0, 0, 0, 0, 0)
plug(self.robot.dynamicEncoders.waist, self.interface.positionWaist)
plug(self.IMUVector.sout, self.interface.imuVector)
plug(self.interface.input, self.input)
self.robot.flextimator = self
# Create a dynamic ######################################
def createCenterOfMassFeatureAndTask(self,
dynamicTmp,
featureName,
featureDesName,
taskName,
selec='111',
ingain=1.):
dynamicTmp.com.recompute(0)
dynamicTmp.Jcom.recompute(0)
featureCom = FeatureGeneric(featureName)
plug(dynamicTmp.com, featureCom.errorIN)
plug(dynamicTmp.Jcom, featureCom.jacobianIN)
featureCom.selec.value = selec
featureComDes = FeatureGeneric(featureDesName)
featureComDes.errorIN.value = dynamicTmp.com.value
featureCom.setReference(featureComDes.name)
taskCom = Task(taskName)
taskCom.add(featureName)
gainCom = GainAdaptive('gain' + taskName)
gainCom.setConstant(ingain)
plug(gainCom.gain, taskCom.controlGain)
plug(taskCom.error, gainCom.error)
return (featureCom, featureComDes, taskCom, gainCom)
def createOperationalPointFeatureAndTask(self,
dynamicTmp,
operationalPointName,
featureName,
taskName,
ingain=.2):
jacobianName = 'J{0}'.format(operationalPointName)
dynamicTmp.signal(operationalPointName).recompute(0)
dynamicTmp.signal(jacobianName).recompute(0)
feature = \
FeaturePosition(featureName,
dynamicTmp.signal(operationalPointName),
dynamicTmp.signal(jacobianName),
dynamicTmp.signal(operationalPointName).value)
task = Task(taskName)
task.add(featureName)
gain = GainAdaptive('gain' + taskName)
gain.setConstant(ingain)
plug(gain.gain, task.controlGain)
plug(task.error, gain.error)
return (feature, task, gain)
def createDynamic(self, state, name):
# Create dynamic
self.dynamicTmp = self.robot.loadModelFromJrlDynamics(
self.robot.name + name, self.robot.modelDir, self.robot.modelName,
self.robot.specificitiesPath, self.robot.jointRankPath,
DynamicHrp2_14)
self.dynamicTmp.dimension = self.dynamicTmp.getDimension()
if self.dynamicTmp.dimension != len(self.robot.halfSitting):
raise RuntimeError(
"Dimension of half-sitting: {0} differs from dimension of robot: {1}"
.format(len(self.halfSitting), self.dynamicTmp.dimension))
# Pluging position
plug(state, self.dynamicTmp.position)
self.derivative = True
# Pluging velocity
self.robot.enableVelocityDerivator = self.derivative
if self.robot.enableVelocityDerivator:
self.dynamicTmp.velocityDerivator = Derivator_of_Vector(
'velocityDerivator')
self.dynamicTmp.velocityDerivator.dt.value = self.robot.timeStep
plug(state, self.dynamicTmp.velocityDerivator.sin)
plug(self.dynamicTmp.velocityDerivator.sout,
self.dynamicTmp.velocity)
else:
self.dynamicTmp.velocity.value = self.dynamicTmp.dimension * (0., )
# Pluging acceleration
self.robot.enableAccelerationDerivator = self.derivative
if self.robot.enableAccelerationDerivator:
self.dynamicTmp.accelerationDerivator = Derivator_of_Vector(
'accelerationDerivator')
self.dynamicTmp.accelerationDerivator.dt.value = self.robot.timeStep
plug(self.dynamicTmp.velocityDerivator.sout,
self.dynamicTmp.accelerationDerivator.sin)
plug(self.dynamicTmp.accelerationDerivator.sout,
self.dynamicTmp.acceleration)
else:
self.dynamicTmp.acceleration.value = self.dynamicTmp.dimension * (
0., )
# # --- center of mass ------------
# (self.featureCom, self.featureComDes, self.taskCom, self.gainCom) = \
# self.createCenterOfMassFeatureAndTask\
# (self.dynamicTmp, '{0}_feature_com'.format(self.robot.name),
# '{0}_feature_ref_com'.format(self.robot.name),
# '{0}_task_com'.format(self.robot.name))
# --- operational points tasks -----
self.robot.features = dict()
self.robot.tasks = dict()
self.robot.gains = dict()
for op in self.robot.OperationalPoints:
opName = op + name
self.dynamicTmp.createOpPoint(op, op)
(self.robot.features[opName], self.robot.tasks[opName], self.robot.gains[opName]) = \
self.createOperationalPointFeatureAndTask(self.dynamicTmp, op,
'{0}_feature_{1}'.format(self.robot.name, opName),
'{0}_task_{1}'.format(self.robot.name, opName))
# define a member for each operational point
w = op.split('-')
memberName = w[0]
for i in w[1:]:
memberName += i.capitalize()
setattr(self, memberName, self.robot.features[opName])
# self.robot.tasks ['com'] = self.taskCom
# self.robot.features ['com'] = self.featureCom
# self.robot.gains['com'] = self.gainCom
self.robot.features['waist' + name].selec.value = '011100'
return self.dynamicTmp
plug(robot.device.accelerometer, sensorStack.sin1)
plug(robot.device.gyrometer, sensorStack.sin2)
sensorStack.selec1(0, 3)
sensorStack.selec2(0, 3)
plug(sensorStack.sout, meas)
inputPos = MatrixHomoToPoseUTheta("inputPosition")
plug(robot.frames["accelerometer"].position, inputPos.sin)
inputVector = sotso.PositionStateReconstructor("estimatorInput")
robot.dynamic.createJacobian("jchest", "chest")
imu = OpPointModifier("IMU_oppoint")
imu.setEndEffector(True)
imu.setTransformation(
matrixToTuple(
matrix(robot.frames["accelerometer"].position.value) * np.linalg.inv(matrix(robot.dynamic.chest.value))
)
)
plug(inputPos.sout, inputVector.sin)
inputVector.inputFormat.value = "000011"
inputVector.outputFormat.value = "011111"
plug(inputVector.sout, inputs)
flex = est.signal("flexMatrixInverse")
flexdot = est.signal("flexInverseVelocityVector")
def __init__(self, robot, name='flextimatorEncoders'):
DGIMUModelBaseFlexEstimation.__init__(self,name)
self.setSamplingPeriod(0.005)
self.robot = robot
# Covariances
self.setProcessNoiseCovariance(matrixToTuple(np.diag((1e-8,)*12+(1e-4,)*3+(1e-4,)*3+(1e-4,)*3+(1e-4,)*3+(1.e-2,)*6+(1e-15,)*2+(1.e-8,)*3)))
self.setMeasurementNoiseCovariance(matrixToTuple(np.diag((1e-3,)*3+(1e-6,)*3)))
self.setUnmodeledForceVariance(1e-13)
self.setForceVariance(1e-4)
self.setAbsolutePosVariance(1e-4)
# Contact model definition
self.setContactModel(1)
self.setKfe(matrixToTuple(np.diag((40000,40000,40000))))
self.setKfv(matrixToTuple(np.diag((600,600,600))))
self.setKte(matrixToTuple(np.diag((600,600,600))))
self.setKtv(matrixToTuple(np.diag((60,60,60))))
#Estimator interface
self.interface=EstimatorInterface(name+"EstimatorInterface")
self.interface.setLeftHandSensorTransformation((0.,0.,1.57))
self.interface.setRightHandSensorTransformation((0.,0.,1.57))
self.interface.setFDInertiaDot(True)
# State and measurement definition
self.interface.setWithUnmodeledMeasurements(False)
self.interface.setWithModeledForces(True)
self.interface.setWithAbsolutePose(False)
self.setWithComBias(False)
# Contacts forces
plug (self.robot.device.forceLLEG,self.interface.force_lf)
plug (self.robot.device.forceRLEG,self.interface.force_rf)
plug (self.robot.device.forceLARM,self.interface.force_lh)
plug (self.robot.device.forceRARM,self.interface.force_rh)
# Selecting robotState
self.robot.device.robotState.value=46*(0.,)
self.robotState = Selec_of_vector('robotState')
plug(self.robot.device.robotState,self.robotState.sin)
self.robotState.selec(0,36)
# Reconstruction of the position of the free flyer from encoders
# Create dynamic with the free flyer at the origin of the control frame
self.robot.dynamicOdo=self.createDynamic(self.robotState.sout,'_dynamicOdo')
self.robot.dynamicOdo.inertia.recompute(1)
self.robot.dynamicOdo.waist.recompute(1)
# Reconstruction of the position of the contacts in dynamicOdo
self.leftFootPosOdo=Multiply_of_matrixHomo(name+"leftFootPosOdo")
plug(self.robot.dynamicOdo.signal('left-ankle'),self.leftFootPosOdo.sin1)
self.leftFootPosOdo.sin2.value=self.robot.forceSensorInLeftAnkle
self.rightFootPosOdo=Multiply_of_matrixHomo(name+"rightFootPosOdo")
plug(self.robot.dynamicOdo.signal('right-ankle'),self.rightFootPosOdo.sin1)
self.rightFootPosOdo.sin2.value=self.robot.forceSensorInRightAnkle
# Odometry
self.odometry=Odometry (name+'odometry')
plug (self.robot.frames['leftFootForceSensor'].position,self.odometry.leftFootPositionRef)
plug (self.robot.frames['rightFootForceSensor'].position,self.odometry.rightFootPositionRef)
plug (self.rightFootPosOdo.sout,self.odometry.rightFootPositionIn)
plug (self.leftFootPosOdo.sout,self.odometry.leftFootPositionIn)
plug (self.robot.device.forceLLEG,self.odometry.force_lf)
plug (self.robot.device.forceRLEG,self.odometry.force_rf)
self.odometry.setLeftFootPosition(self.robot.frames['leftFootForceSensor'].position.value)
self.odometry.setRightFootPosition(self.robot.frames['rightFootForceSensor'].position.value)
plug(self.interface.stackOfSupportContacts,self.odometry.stackOfSupportContacts)
# Create dynamicEncoders
self.robotStateWoFF = Selec_of_vector('robotStateWoFF')
plug(self.robot.device.robotState,self.robotStateWoFF.sin)
self.robotStateWoFF.selec(6,36)
self.stateEncoders = Stack_of_vector (name+'stateEncoders')
plug(self.odometry.freeFlyer,self.stateEncoders.sin1)
plug(self.robotStateWoFF.sout,self.stateEncoders.sin2)
self.stateEncoders.selec1 (0, 6)
self.stateEncoders.selec2 (0, 30)
self.robot.dynamicEncoders=self.createDynamic(self.stateEncoders.sout,'_dynamicEncoders')
# self.robot.dynamicEncoders=self.createDynamic(self.robotState.sout,'_dynamicEncoders')
# plug(self.odometry.freeFlyer,self.robot.dynamicEncoders.ffposition)
# self.robot.dynamicEncoders=self.createDynamic(self.robot.device.state,'_dynamicEncoders')
# Reconstruction of the position of the contacts in dynamicEncoders
self.leftFootPos=Multiply_of_matrixHomo("leftFootPos")
plug(self.robot.dynamicEncoders.signal('left-ankle'),self.leftFootPos.sin1)
self.leftFootPos.sin2.value=self.robot.forceSensorInLeftAnkle
self.rightFootPos=Multiply_of_matrixHomo("rightFootPos")
plug(self.robot.dynamicEncoders.signal('right-ankle'),self.rightFootPos.sin1)
self.rightFootPos.sin2.value=self.robot.forceSensorInRightAnkle
# Contacts velocities
self.leftFootVelocity = Multiply_matrix_vector ('leftFootVelocity')
plug(self.robot.frames['leftFootForceSensor'].jacobian,self.leftFootVelocity.sin1)
plug(self.robot.dynamicEncoders.velocity,self.leftFootVelocity.sin2)
self.rightFootVelocity = Multiply_matrix_vector ('rightFootVelocity')
plug(self.robot.frames['rightFootForceSensor'].jacobian,self.rightFootVelocity.sin1)
plug(self.robot.dynamicEncoders.velocity,self.rightFootVelocity.sin2)
# Contacts positions and velocities
plug (self.leftFootPos.sout,self.interface.position_lf)
plug (self.rightFootPos.sout,self.interface.position_rf)
plug (self.leftFootVelocity.sout,self.interface.velocity_lf)
plug (self.rightFootVelocity.sout,self.interface.velocity_rf)
plug (self.robot.dynamicEncoders.signal('right-wrist'),self.interface.position_lh)
plug (self.robot.dynamicEncoders.signal('left-wrist'),self.interface.position_rh)
# Compute contacts number
plug (self.interface.supportContactsNbr,self.contactNbr)
# Contacts model and config
plug(self.interface.contactsModel,self.contactsModel)
self.setWithConfigSignal(True)
plug(self.interface.config,self.config)
# Drift
self.drift = DriftFromMocap(name+'Drift')
# Compute measurement vector
plug(self.robot.device.accelerometer,self.interface.accelerometer)
plug(self.robot.device.gyrometer,self.interface.gyrometer)
plug(self.drift.driftVector,self.interface.drift)
plug(self.interface.measurement,self.measurement)
# Input reconstruction
# IMU Vector
# Creating an operational point for the IMU
self.robot.dynamicEncoders.createJacobian(name+'ChestJ_OpPoint','chest')
self.imuOpPoint = OpPointModifier(name+'IMU_oppoint')
self.imuOpPoint.setTransformation(matrixToTuple(np.linalg.inv(np.matrix(self.robot.dynamicEncoders.chest.value))*np.matrix(self.robot.frames['accelerometer'].position.value)))
self.imuOpPoint.setEndEffector(False)
plug (self.robot.dynamicEncoders.chest,self.imuOpPoint.positionIN)
plug (self.robot.dynamicEncoders.signal(name+'ChestJ_OpPoint'),self.imuOpPoint.jacobianIN)
# IMU position
self.PosAccelerometer=Multiply_of_matrixHomo(name+"PosAccelerometer")
plug(self.robot.dynamicEncoders.chest,self.PosAccelerometer.sin1)
self.PosAccelerometer.sin2.value=matrixToTuple(self.robot.accelerometerPosition)
self.inputPos = MatrixHomoToPoseUTheta(name+'InputPosition')
plug(self.PosAccelerometer.sout,self.inputPos.sin)
# IMU velocity
self.inputVel = Multiply_matrix_vector(name+'InputVelocity')
plug(self.imuOpPoint.jacobian,self.inputVel.sin1)
plug(self.robot.dynamicEncoders.velocity,self.inputVel.sin2)
# Concatenate
self.inputPosVel = Stack_of_vector (name+'InputPosVel')
plug(self.inputPos.sout,self.inputPosVel.sin1)
plug(self.inputVel.sout,self.inputPosVel.sin2)
self.inputPosVel.selec1 (0, 6)
self.inputPosVel.selec2 (0, 6)
# IMU Vector
self.IMUVector = PositionStateReconstructor (name+'EstimatorInput')
plug(self.inputPosVel.sout,self.IMUVector.sin)
self.IMUVector.inputFormat.value = '001111'
self.IMUVector.outputFormat.value = '011111'
self.IMUVector.setFiniteDifferencesInterval(2)
# CoM and derivatives
self.comIn=self.robot.dynamicEncoders.com
self.comVector = PositionStateReconstructor (name+'ComVector')
plug(self.comIn,self.comVector.sin)
self.comVector.inputFormat.value = '000001'
self.comVector.outputFormat.value = '010101'
self.comVector.setFiniteDifferencesInterval(20)
# Compute derivative of Angular Momentum
self.angMomDerivator = Derivator_of_Vector(name+'angMomDerivator')
plug(self.robot.dynamicEncoders.angularmomentum,self.angMomDerivator.sin)
self.angMomDerivator.dt.value = self.robot.timeStep
# Concatenate with interace estimator
plug(self.comVector.sout,self.interface.comVector)
plug(self.robot.dynamicEncoders.inertia,self.interface.inertia)
plug(self.robot.dynamicEncoders.angularmomentum,self.interface.angMomentum)
plug(self.angMomDerivator.sout,self.interface.dangMomentum)
self.interface.dinertia.value=(0,0,0,0,0,0)
plug(self.robot.dynamicEncoders.waist,self.interface.positionWaist)
plug(self.IMUVector.sout,self.interface.imuVector)
plug(self.interface.input,self.input)
self.robot.flextimator = self
class MetaTaskKine6dRel(MetaTask6d):
opPointBase = ''
def createOpPointBase(self, opPointBase, opPointRefBase='left-wrist'):
self.opPointBase = opPointBase
if self.opPointExist(opPointBase):
return
self.dyn.createOpPoint(opPointBase, opPointRefBase)
def createOpPointModifBase(self):
self.opPointModifBase = OpPointModifier('opmodifBase' + self.name)
plug(self.dyn.signal(self.opPointBase), self.opPointModifBase.signal('positionIN'))
plug(self.dyn.signal('J' + self.opPointBase), self.opPointModifBase.signal('jacobianIN'))
self.opPointModifBase.activ = False
def createFeatures(self):
self.feature = FeaturePoint6dRelative('featureRel' + self.name)
self.featureDes = FeaturePoint6dRelative('featureRel' + self.name + '_ref')
self.feature.selec.value = '111111'
self.feature.frame('current')
def plugEverything(self):
self.feature.setReference(self.featureDes.name)
plug(self.dyn.signal(self.opPoint), self.feature.signal('position'))
plug(self.dyn.signal('J' + self.opPoint), self.feature.signal('Jq'))
plug(self.dyn.signal(self.opPointBase), self.feature.signal('positionRef'))
plug(self.dyn.signal('J' + self.opPointBase), self.feature.signal('JqRef'))
self.task.add(self.feature.name)
plug(self.task.error, self.gain.error)
plug(self.gain.gain, self.task.controlGain)
def keep(self):
self.feature.position.recompute(self.dyn.position.time)
self.feature.keep()
def __init__(self, name, dyn, opPoint, opPointBase, opPointRef='right-wrist', opPointRefBase='left-wrist'):
self.name = name
self.defineDynEntities(dyn)
self.createOpPoint(opPoint, opPointRef)
self.createOpPointBase(opPointBase, opPointRefBase)
self.createOpPointModif()
self.createOpPointModifBase()
self.createFeatures()
self.createTask()
self.createGain()
self.plugEverything()
@property
def opmodifBase(self):
if not self.opPointModifBase.activ:
return False
else:
return self.opPointModifBase.getTransformation()
@opmodifBase.setter
def opmodifBase(self, m):
if isinstance(m, bool) and not m:
plug(self.dyn.signal(self.opPointBase), self.feature.signal('positionRef'))
plug(self.dyn.signal('J' + self.opPointBase), self.feature.signal('JqRef'))
self.opPointModifBase.activ = False
else:
if not self.opPointModifBase.activ:
plug(self.opPointModifBase.signal('position'), self.feature.positionRef)
plug(self.opPointModifBase.signal('jacobian'), self.feature.JqRef)
self.opPointModifBase.setTransformation(m)
self.opPointModifBase.activ = True
contactNbr = est1.signal('contactNbr')
flexVect=est1.signal('flexibility')
flex=est1.signal('flexMatrixInverse')
flexdot = est1.signal('flexInverseVelocityVector')
# contacts definition
contactNbr.value = 2
est1.setContactModel(2)
# Position of the anchorage in the global frame
Peg = (0,0,4.60)
# Positions of the contacts on the robot (in the local frame) with respect to the chest
Prl1 = np.matrix([[1,0,0,0-3.19997004e-02],[0,1,0,0.15-0],[0,0,1,1.28-1],[0,0,0,1]])
Prl2 = np.matrix([[1,0,0,0-3.19997004e-02],[0,1,0,-0.15-0],[0,0,1,1.28-1],[0,0,0,1]])
# contact 1
contact1OpPoint = OpPointModifier('contact1_oppoint')
contact1OpPoint.setEndEffector(False)
contact1OpPoint.setTransformation(matrixToTuple(Prl1))
plug (robot.dynamic.chest,contact1OpPoint.positionIN)
contact1Pos = MatrixHomoToPose('contact1Pos')
plug(contact1OpPoint.position, contact1Pos.sin)
contact1 = Stack_of_vector ('contact1')
contact1.sin1.value = Peg
plug(contact1Pos.sout,contact1.sin2)
#contact1.sin2.value = (0,-0.15,1.28)
contact1.selec1 (0, 3)
contact1.selec2 (0, 3)
# contact 2
contact2OpPoint = OpPointModifier('contact2_oppoint')
class MetaTask6d(object):
name = ''
opPoint = ''
dyn = 0
task = 0
feature = 0
featureDes = 0
def opPointExist(self, opPoint):
sigsP = filter(lambda x: x.getName().split(':')[-1] == opPoint, self.dyn.signals())
sigsJ = filter(lambda x: x.getName().split(':')[-1] == 'J' + opPoint, self.dyn.signals())
return len(sigsP) == 1 & len(sigsJ) == 1
def defineDynEntities(self, dyn):
self.dyn = dyn
def createOpPoint(self, opPoint, opPointRef='right-wrist'):
self.opPoint = opPoint
if self.opPointExist(opPoint):
return
self.dyn.createOpPoint(opPoint, opPointRef)
def createOpPointModif(self):
self.opPointModif = OpPointModifier('opmodif' + self.name)
plug(self.dyn.signal(self.opPoint), self.opPointModif.signal('positionIN'))
plug(self.dyn.signal('J' + self.opPoint), self.opPointModif.signal('jacobianIN'))
self.opPointModif.activ = False
def createFeatures(self):
self.feature = FeaturePoint6d('feature' + self.name)
self.featureDes = FeaturePoint6d('feature' + self.name + '_ref')
self.feature.selec.value = '111111'
self.feature.frame('current')
def createTask(self):
self.task = Task('task' + self.name)
def createGain(self):
self.gain = GainAdaptive('gain' + self.name)
self.gain.set(0.1, 0.1, 125e3)
def plugEverything(self):
self.feature.setReference(self.featureDes.name)
plug(self.dyn.signal(self.opPoint), self.feature.signal('position'))
plug(self.dyn.signal('J' + self.opPoint), self.feature.signal('Jq'))
self.task.add(self.feature.name)
plug(self.task.error, self.gain.error)
plug(self.gain.gain, self.task.controlGain)
def keep(self):
self.feature.position.recompute(self.dyn.position.time)
self.feature.keep()
def __init__(self, name, dyn, opPoint, opPointRef='right-wrist'):
self.name = name
self.defineDynEntities(dyn)
self.createOpPoint(opPoint, opPointRef)
self.createOpPointModif()
self.createFeatures()
self.createTask()
self.createGain()
self.plugEverything()
@property
def ref(self):
return self.featureDes.position.value
@ref.setter
def ref(self, m):
self.featureDes.position.value = m
@property
def opmodif(self):
if not self.opPointModif.activ:
return False
else:
return self.opPointModif.getTransformation()
@opmodif.setter
def opmodif(self, m):
if isinstance(m, bool) and not m:
plug(self.dyn.signal(self.opPoint), self.feature.signal('position'))
plug(self.dyn.signal('J' + self.opPoint), self.feature.signal('Jq'))
self.opPointModif.activ = False
else:
if not self.opPointModif.activ:
plug(self.opPointModif.signal('position'), self.feature.position)
plug(self.opPointModif.signal('jacobian'), self.feature.Jq)
self.opPointModif.setTransformation(m)
self.opPointModif.activ = True
self.sot.setNumberDofs(self.robot.dimension)
if robot.simu:
plug(self.sot.signal('control'), robot.simu.signal('control'))
plug(self.robot.simu.state,
self.robot.dynamic.position)
robot = Hrp2("robot")
solver = Solver(robot)
timeStep = 0.005
robot.dynamic.gaze.recompute(0)
robot.dynamic.Jgaze.recompute(0)
lwcam = OpPointModifier('lwcam')
plug(robot.dynamic.gaze, lwcam.positionIN)
plug(robot.dynamic.Jgaze, lwcam.jacobianIN)
# HRP2-14 extrinsic camera parameters
leftWideCamera = ((1., 0., 0., 0.035),
(0., 1., 0., 0.072),
(0., 0., 1., 0.075),
(0., 0., 0., 1.))
lwcam.setTransformation(leftWideCamera)
lwcam.position.recompute(0)
lwcam.jacobian.recompute(0)
print "GAZE"
def __init__(self, robot, name='flextimator', useMocap=True, dt=0.005):
DGIMUModelBaseFlexEstimation.__init__(self,name)
self.setSamplingPeriod(dt)
self.robot = robot
initDevice(self.robot)
computeDynamic(self.robot,0)
# Covariances
self.setProcessNoiseCovariance(matrixToTuple(np.diag((1e-8,)*12+(1e-4,)*3+(1e-4,)*3+(1e-4,)*3+(1e-4,)*3+(1.e-2,)*6+(1e-15,)*2+(1.e-8,)*3)))
self.setMeasurementNoiseCovariance(matrixToTuple(np.diag((1e-3,)*3+(1e-6,)*3)))
self.setUnmodeledForceVariance(1e-13)
self.setForceVariance(1e-4)
self.setAbsolutePosVariance(1e-4)
# Contact model definition
# self.setKfe(matrixToTuple(np.diag((40000,40000,40000))))
self.setKfe(matrixToTuple(np.diag((150000,150000,150000))))
self.setKfv(matrixToTuple(np.diag((600,600,600))))
self.setKte(matrixToTuple(np.diag((600,600,600))))
self.setKtv(matrixToTuple(np.diag((10,10,10))))
self.setKfeCordes(matrixToTuple(np.diag((10000,10000,10000))))
self.setKfvCordes(matrixToTuple(np.diag((300,300,800))))
self.setKteCordes(matrixToTuple(np.diag((600,600,600))))
self.setKtvCordes(matrixToTuple(np.diag((60,60,60))))
# Estimator interface
self.interface=EstimatorInterface(name+"EstimatorInterface")
self.interface.setSamplingPeriod(dt)
self.interface.setLeftHandSensorTransformation((0.,0.,1.57))
self.interface.setRightHandSensorTransformation((0.,0.,1.57))
# State and measurement definition
self.interface.setWithUnmodeledMeasurements(False)
self.interface.setWithModeledForces(True)
self.interface.setWithAbsolutePose(False)
self.setWithComBias(False)
# Contacts velocities
self.leftFootVelocity = Multiply_matrix_vector ('leftFootVelocity')
plug(self.robot.frames['leftFootForceSensor'].jacobian,self.leftFootVelocity.sin1)
plug(self.robot.device.velocity,self.leftFootVelocity.sin2)
self.rightFootVelocity = Multiply_matrix_vector ('rightFootVelocity')
plug(self.robot.frames['rightFootForceSensor'].jacobian,self.rightFootVelocity.sin1)
plug(self.robot.device.velocity,self.rightFootVelocity.sin2)
self.interface.setFDInertiaDot(True)
# Contacts forces, positions and velocities
# Feet
plug (self.robot.device.forceLLEG,self.interface.force_lf)
plug (self.robot.device.forceRLEG,self.interface.force_rf)
plug (self.robot.frames['leftFootForceSensor'].position,self.interface.position_lf)
plug (self.robot.frames['rightFootForceSensor'].position,self.interface.position_rf)
plug (self.leftFootVelocity.sout,self.interface.velocity_lf)
plug (self.rightFootVelocity.sout,self.interface.velocity_rf)
# Hands
plug (self.robot.device.forceLARM,self.interface.force_lh)
plug (self.robot.device.forceRARM,self.interface.force_rh)
plug (self.robot.dynamic.signal('right-wrist'),self.interface.position_lh)
plug (self.robot.dynamic.signal('left-wrist'),self.interface.position_rh)
# Strings
self.Peg = (0,0,4.60) # Position of the anchorage in the global frame
self.setPe(self.Peg)
self.Prl1 = np.matrix([[1,0,0,0-3.19997004e-02],[0,1,0,0.15-0],[0,0,1,1.28-1],[0,0,0,1]]) # Positions of the contacts on the robot (in the local frame) with respect to the chest
self.Prl2 = np.matrix([[1,0,0,0-3.19997004e-02],[0,1,0,-0.15-0],[0,0,1,1.28-1],[0,0,0,1]])
(self.contact1OpPoint,self.contact1Pos,self.contact1)=self.createContact('contact1', self.Prl1)
(self.contact2OpPoint,self.contact2Pos,self.contact2)=self.createContact('contact2', self.Prl2)
plug(self.contact1.sout,self.interface.position_ls)
plug(self.contact2.sout,self.interface.position_rs)
# Contacts model and config
plug(self.interface.contactsModel,self.contactsModel)
self.setWithConfigSignal(True)
plug(self.interface.config,self.config)
if(useMocap):
# Mocap signal
self.ros = RosExport('rosExportMocap')
self.ros.add('matrixHomoStamped', "chest", "/evart/hrp2_14_head/hrp2_14_head")
# Filtering
from dynamic_graph.sot.tools import MocapDataFilter
self.mocapFilter = MocapDataFilter('MocapDataFilter')
plug(self.ros.signal('chest'),self.mocapFilter.sin)
self.mocapSignal = self.mocapFilter.sout
# Drift
self.drift = DriftFromMocap(name+'Drift')
plug(self.mocapSignal,self.drift.limbGlobal)
plug(self.robot.dynamic.chest,self.drift.limbLocal)
self.drift.init()
plug(self.drift.driftInvVector,self.interface.drift)
# Measurement reconstruction
plug(self.robot.device.accelerometer,self.interface.accelerometer)
plug(self.robot.device.gyrometer,self.interface.gyrometer)
plug(self.interface.measurement,self.measurement)
# Input reconstruction
# IMU Vector
self.inputPos = MatrixHomoToPoseUTheta(name+'InputPosition')
plug(robot.frames['accelerometer'].position,self.inputPos.sin)
self.robot.dynamic.createJacobian(name+'ChestJ_OpPoint','chest')
self.imuOpPoint = OpPointModifier(name+'IMU_oppoint')
self.imuOpPoint.setEndEffector(False)
self.imuOpPoint.setTransformation(matrixToTuple(np.linalg.inv(np.matrix(self.robot.dynamic.chest.value))*np.matrix(self.robot.frames['accelerometer'].position.value)))
plug (self.robot.dynamic.chest,self.imuOpPoint.positionIN)
plug (self.robot.dynamic.signal(name+'ChestJ_OpPoint'),self.imuOpPoint.jacobianIN)
self.inputVel = Multiply_matrix_vector(name+'InputVelocity')
plug(self.imuOpPoint.jacobian,self.inputVel.sin1)
plug(self.robot.device.velocity,self.inputVel.sin2)
self.inputPosVel = Stack_of_vector (name+'InputPosVel')
plug(self.inputPos.sout,self.inputPosVel.sin1)
plug(self.inputVel.sout,self.inputPosVel.sin2)
self.inputPosVel.selec1 (0, 6)
self.inputPosVel.selec2 (0, 6)
self.IMUVector = PositionStateReconstructor (name+'EstimatorInput')
self.IMUVector.setSamplingPeriod(dt)
plug(self.inputPosVel.sout,self.IMUVector.sin)
self.IMUVector.inputFormat.value = '001111'
self.IMUVector.outputFormat.value = '011111'
self.IMUVector.setFiniteDifferencesInterval(1)
self.inputPosVel.sout.recompute(0)
self.IMUVector.setLastVector(self.inputPosVel.sout.value+(0.,)*6)
# CoM and derivatives
self.com=self.robot.dynamic.com
self.DCom = Multiply_matrix_vector(name+'DCom')
plug(self.robot.dynamic.Jcom,self.DCom.sin1)
plug(self.robot.device.velocity,self.DCom.sin2)
self.comVectorIn = Stack_of_vector (name+'ComVectorIn')
plug(self.com,self.comVectorIn.sin1)
plug(self.DCom.sout,self.comVectorIn.sin2)
self.comVectorIn.selec1 (0, 3)
self.comVectorIn.selec2 (0, 3)
self.comVector = PositionStateReconstructor (name+'ComVector')
self.comVector.setSamplingPeriod(dt)
plug(self.comVectorIn.sout,self.comVector.sin)
self.comVector.inputFormat.value = '000101'
self.comVector.outputFormat.value = '010101'
self.comVector.setFiniteDifferencesInterval(1)
self.DCom.sout.recompute(0)
self.comVector.setLastVector(self.com.value+(0.,)*15)#(0.,)*3+self.DCom.sout.value+(0.,)*9)
# Compute derivative of Angular Momentum
self.angMomDerivator = Derivator_of_Vector(name+'angMomDerivator')
plug(self.robot.dynamic.angularmomentum,self.angMomDerivator.sin)
self.angMomDerivator.dt.value = dt
# self.angMomDerivator = PositionStateReconstructor (name+'angMomDerivator')
# self.angMomDerivator.setSamplingPeriod(dt)
# plug(self.robot.dynamic.angularmomentum,self.angMomDerivator.sin)
# self.angMomDerivator.inputFormat.value = '000001'
# self.angMomDerivator.outputFormat.value = '000100'
# self.angMomDerivator.setFiniteDifferencesInterval(2)
# self.robot.dynamic.angularmomentum.recompute(0)
# self.angMomDerivator.setLastVector(self.robot.dynamic.angularmomentum.value+(0.,)*15)
# Concatenate with interface estimator
plug(self.comVector.sout,self.interface.comVector)
plug(self.robot.dynamic.inertia,self.interface.inertia)
self.interface.dinertia.value=(0,0,0,0,0,0)
plug(self.robot.dynamic.angularmomentum,self.interface.angMomentum)
plug(self.angMomDerivator.sout,self.interface.dangMomentum)
plug(self.robot.dynamic.waist,self.interface.positionWaist)
plug(self.IMUVector.sout,self.interface.imuVector)
plug(self.interface.input,self.input)
plug (self.interface.modeledContactsNbr,self.contactNbr)
self.robot.flextimator = self
from dynamic_graph.sot.dynamics.tools import *
def matrixToTuple(M):
tmp = M.tolist()
res = []
for i in tmp:
res.append(tuple(i))
return tuple(res)
robot.dynamic.gaze.recompute(0)
robot.dynamic.Jgaze.recompute(0)
# Camera related frames.
w_M_c = OpPointModifier('w_M_c')
# Compute the transformation between the
# gaze and the left bottom (wide) camera.
# Extrinsic camera parameters.
g_M_c1 = np.matrix(
[[1., 0., 0., -0.072],
[0., 1., 0., -0.075],
[0., 0., 1., 0.035],
[0., 0., 0., 1.]])
# Frames re-orientation:
# Z = depth (increase from near to far)
# X = increase from left to right
# Y = increase from top to bottom
class HRP2ModelBaseFlexEstimatorIMUForceEncoders(DGIMUModelBaseFlexEstimation):
def __init__(self, robot, name='flextimatorEncoders'):
DGIMUModelBaseFlexEstimation.__init__(self,name)
self.setSamplingPeriod(0.005)
self.robot = robot
# Covariances
self.setProcessNoiseCovariance(matrixToTuple(np.diag((1e-8,)*12+(1e-4,)*3+(1e-4,)*3+(1e-4,)*3+(1e-4,)*3+(1.e-2,)*6+(1e-15,)*2+(1.e-8,)*3)))
self.setMeasurementNoiseCovariance(matrixToTuple(np.diag((1e-3,)*3+(1e-6,)*3)))
self.setUnmodeledForceVariance(1e-13)
self.setForceVariance(1e-4)
self.setAbsolutePosVariance(1e-4)
# Contact model definition
self.setContactModel(1)
self.setKfe(matrixToTuple(np.diag((40000,40000,40000))))
self.setKfv(matrixToTuple(np.diag((600,600,600))))
self.setKte(matrixToTuple(np.diag((600,600,600))))
self.setKtv(matrixToTuple(np.diag((60,60,60))))
#Estimator interface
self.interface=EstimatorInterface(name+"EstimatorInterface")
self.interface.setLeftHandSensorTransformation((0.,0.,1.57))
self.interface.setRightHandSensorTransformation((0.,0.,1.57))
self.interface.setFDInertiaDot(True)
# State and measurement definition
self.interface.setWithUnmodeledMeasurements(False)
self.interface.setWithModeledForces(True)
self.interface.setWithAbsolutePose(False)
self.setWithComBias(False)
# Contacts forces
plug (self.robot.device.forceLLEG,self.interface.force_lf)
plug (self.robot.device.forceRLEG,self.interface.force_rf)
plug (self.robot.device.forceLARM,self.interface.force_lh)
plug (self.robot.device.forceRARM,self.interface.force_rh)
# Selecting robotState
self.robot.device.robotState.value=46*(0.,)
self.robotState = Selec_of_vector('robotState')
plug(self.robot.device.robotState,self.robotState.sin)
self.robotState.selec(0,36)
# Reconstruction of the position of the free flyer from encoders
# Create dynamic with the free flyer at the origin of the control frame
self.robot.dynamicOdo=self.createDynamic(self.robotState.sout,'_dynamicOdo')
self.robot.dynamicOdo.inertia.recompute(1)
self.robot.dynamicOdo.waist.recompute(1)
# Reconstruction of the position of the contacts in dynamicOdo
self.leftFootPosOdo=Multiply_of_matrixHomo(name+"leftFootPosOdo")
plug(self.robot.dynamicOdo.signal('left-ankle'),self.leftFootPosOdo.sin1)
self.leftFootPosOdo.sin2.value=self.robot.forceSensorInLeftAnkle
self.rightFootPosOdo=Multiply_of_matrixHomo(name+"rightFootPosOdo")
plug(self.robot.dynamicOdo.signal('right-ankle'),self.rightFootPosOdo.sin1)
self.rightFootPosOdo.sin2.value=self.robot.forceSensorInRightAnkle
# Odometry
self.odometry=Odometry (name+'odometry')
plug (self.robot.frames['leftFootForceSensor'].position,self.odometry.leftFootPositionRef)
plug (self.robot.frames['rightFootForceSensor'].position,self.odometry.rightFootPositionRef)
plug (self.rightFootPosOdo.sout,self.odometry.rightFootPositionIn)
plug (self.leftFootPosOdo.sout,self.odometry.leftFootPositionIn)
plug (self.robot.device.forceLLEG,self.odometry.force_lf)
plug (self.robot.device.forceRLEG,self.odometry.force_rf)
self.odometry.setLeftFootPosition(self.robot.frames['leftFootForceSensor'].position.value)
self.odometry.setRightFootPosition(self.robot.frames['rightFootForceSensor'].position.value)
plug(self.interface.stackOfSupportContacts,self.odometry.stackOfSupportContacts)
# Create dynamicEncoders
self.robotStateWoFF = Selec_of_vector('robotStateWoFF')
plug(self.robot.device.robotState,self.robotStateWoFF.sin)
self.robotStateWoFF.selec(6,36)
self.stateEncoders = Stack_of_vector (name+'stateEncoders')
plug(self.odometry.freeFlyer,self.stateEncoders.sin1)
plug(self.robotStateWoFF.sout,self.stateEncoders.sin2)
self.stateEncoders.selec1 (0, 6)
self.stateEncoders.selec2 (0, 30)
self.robot.dynamicEncoders=self.createDynamic(self.stateEncoders.sout,'_dynamicEncoders')
# self.robot.dynamicEncoders=self.createDynamic(self.robotState.sout,'_dynamicEncoders')
# plug(self.odometry.freeFlyer,self.robot.dynamicEncoders.ffposition)
# self.robot.dynamicEncoders=self.createDynamic(self.robot.device.state,'_dynamicEncoders')
# Reconstruction of the position of the contacts in dynamicEncoders
self.leftFootPos=Multiply_of_matrixHomo("leftFootPos")
plug(self.robot.dynamicEncoders.signal('left-ankle'),self.leftFootPos.sin1)
self.leftFootPos.sin2.value=self.robot.forceSensorInLeftAnkle
self.rightFootPos=Multiply_of_matrixHomo("rightFootPos")
plug(self.robot.dynamicEncoders.signal('right-ankle'),self.rightFootPos.sin1)
self.rightFootPos.sin2.value=self.robot.forceSensorInRightAnkle
# Contacts velocities
self.leftFootVelocity = Multiply_matrix_vector ('leftFootVelocity')
plug(self.robot.frames['leftFootForceSensor'].jacobian,self.leftFootVelocity.sin1)
plug(self.robot.dynamicEncoders.velocity,self.leftFootVelocity.sin2)
self.rightFootVelocity = Multiply_matrix_vector ('rightFootVelocity')
plug(self.robot.frames['rightFootForceSensor'].jacobian,self.rightFootVelocity.sin1)
plug(self.robot.dynamicEncoders.velocity,self.rightFootVelocity.sin2)
# Contacts positions and velocities
plug (self.leftFootPos.sout,self.interface.position_lf)
plug (self.rightFootPos.sout,self.interface.position_rf)
plug (self.leftFootVelocity.sout,self.interface.velocity_lf)
plug (self.rightFootVelocity.sout,self.interface.velocity_rf)
plug (self.robot.dynamicEncoders.signal('right-wrist'),self.interface.position_lh)
plug (self.robot.dynamicEncoders.signal('left-wrist'),self.interface.position_rh)
# Compute contacts number
plug (self.interface.supportContactsNbr,self.contactNbr)
# Contacts model and config
plug(self.interface.contactsModel,self.contactsModel)
self.setWithConfigSignal(True)
plug(self.interface.config,self.config)
# Drift
self.drift = DriftFromMocap(name+'Drift')
# Compute measurement vector
plug(self.robot.device.accelerometer,self.interface.accelerometer)
plug(self.robot.device.gyrometer,self.interface.gyrometer)
plug(self.drift.driftVector,self.interface.drift)
plug(self.interface.measurement,self.measurement)
# Input reconstruction
# IMU Vector
# Creating an operational point for the IMU
self.robot.dynamicEncoders.createJacobian(name+'ChestJ_OpPoint','chest')
self.imuOpPoint = OpPointModifier(name+'IMU_oppoint')
self.imuOpPoint.setTransformation(matrixToTuple(np.linalg.inv(np.matrix(self.robot.dynamicEncoders.chest.value))*np.matrix(self.robot.frames['accelerometer'].position.value)))
self.imuOpPoint.setEndEffector(False)
plug (self.robot.dynamicEncoders.chest,self.imuOpPoint.positionIN)
plug (self.robot.dynamicEncoders.signal(name+'ChestJ_OpPoint'),self.imuOpPoint.jacobianIN)
# IMU position
self.PosAccelerometer=Multiply_of_matrixHomo(name+"PosAccelerometer")
plug(self.robot.dynamicEncoders.chest,self.PosAccelerometer.sin1)
self.PosAccelerometer.sin2.value=matrixToTuple(self.robot.accelerometerPosition)
self.inputPos = MatrixHomoToPoseUTheta(name+'InputPosition')
plug(self.PosAccelerometer.sout,self.inputPos.sin)
# IMU velocity
self.inputVel = Multiply_matrix_vector(name+'InputVelocity')
plug(self.imuOpPoint.jacobian,self.inputVel.sin1)
plug(self.robot.dynamicEncoders.velocity,self.inputVel.sin2)
# Concatenate
self.inputPosVel = Stack_of_vector (name+'InputPosVel')
plug(self.inputPos.sout,self.inputPosVel.sin1)
plug(self.inputVel.sout,self.inputPosVel.sin2)
self.inputPosVel.selec1 (0, 6)
self.inputPosVel.selec2 (0, 6)
# IMU Vector
self.IMUVector = PositionStateReconstructor (name+'EstimatorInput')
plug(self.inputPosVel.sout,self.IMUVector.sin)
self.IMUVector.inputFormat.value = '001111'
self.IMUVector.outputFormat.value = '011111'
self.IMUVector.setFiniteDifferencesInterval(2)
# CoM and derivatives
self.comIn=self.robot.dynamicEncoders.com
self.comVector = PositionStateReconstructor (name+'ComVector')
plug(self.comIn,self.comVector.sin)
self.comVector.inputFormat.value = '000001'
self.comVector.outputFormat.value = '010101'
self.comVector.setFiniteDifferencesInterval(20)
# Compute derivative of Angular Momentum
self.angMomDerivator = Derivator_of_Vector(name+'angMomDerivator')
plug(self.robot.dynamicEncoders.angularmomentum,self.angMomDerivator.sin)
self.angMomDerivator.dt.value = self.robot.timeStep
# Concatenate with interace estimator
plug(self.comVector.sout,self.interface.comVector)
plug(self.robot.dynamicEncoders.inertia,self.interface.inertia)
plug(self.robot.dynamicEncoders.angularmomentum,self.interface.angMomentum)
plug(self.angMomDerivator.sout,self.interface.dangMomentum)
self.interface.dinertia.value=(0,0,0,0,0,0)
plug(self.robot.dynamicEncoders.waist,self.interface.positionWaist)
plug(self.IMUVector.sout,self.interface.imuVector)
plug(self.interface.input,self.input)
self.robot.flextimator = self
# Create a dynamic ######################################
def createCenterOfMassFeatureAndTask(self,
dynamicTmp,
featureName, featureDesName,
taskName,
selec = '111',
ingain = 1.):
dynamicTmp.com.recompute(0)
dynamicTmp.Jcom.recompute(0)
featureCom = FeatureGeneric(featureName)
plug(dynamicTmp.com, featureCom.errorIN)
plug(dynamicTmp.Jcom, featureCom.jacobianIN)
featureCom.selec.value = selec
featureComDes = FeatureGeneric(featureDesName)
featureComDes.errorIN.value = dynamicTmp.com.value
featureCom.setReference(featureComDes.name)
taskCom = Task(taskName)
taskCom.add(featureName)
gainCom = GainAdaptive('gain'+taskName)
gainCom.setConstant(ingain)
plug(gainCom.gain, taskCom.controlGain)
plug(taskCom.error, gainCom.error)
return (featureCom, featureComDes, taskCom, gainCom)
def createOperationalPointFeatureAndTask(self,
dynamicTmp,
operationalPointName,
featureName,
taskName,
ingain = .2):
jacobianName = 'J{0}'.format(operationalPointName)
dynamicTmp.signal(operationalPointName).recompute(0)
dynamicTmp.signal(jacobianName).recompute(0)
feature = \
FeaturePosition(featureName,
dynamicTmp.signal(operationalPointName),
dynamicTmp.signal(jacobianName),
dynamicTmp.signal(operationalPointName).value)
task = Task(taskName)
task.add(featureName)
gain = GainAdaptive('gain'+taskName)
gain.setConstant(ingain)
plug(gain.gain, task.controlGain)
plug(task.error, gain.error)
return (feature, task, gain)
def createDynamic(self,state,name) :
# Create dynamic
self.dynamicTmp = self.robot.loadModelFromJrlDynamics(
self.robot.name + name,
self.robot.modelDir,
self.robot.modelName,
self.robot.specificitiesPath,
self.robot.jointRankPath,
DynamicHrp2_14)
self.dynamicTmp.dimension = self.dynamicTmp.getDimension()
if self.dynamicTmp.dimension != len(self.robot.halfSitting):
raise RuntimeError("Dimension of half-sitting: {0} differs from dimension of robot: {1}".format (len(self.halfSitting), self.dynamicTmp.dimension))
# Pluging position
plug(state, self.dynamicTmp.position)
self.derivative=True
# Pluging velocity
self.robot.enableVelocityDerivator = self.derivative
if self.robot.enableVelocityDerivator:
self.dynamicTmp.velocityDerivator = Derivator_of_Vector('velocityDerivator')
self.dynamicTmp.velocityDerivator.dt.value = self.robot.timeStep
plug(state, self.dynamicTmp.velocityDerivator.sin)
plug(self.dynamicTmp.velocityDerivator.sout, self.dynamicTmp.velocity)
else:
self.dynamicTmp.velocity.value = self.dynamicTmp.dimension*(0.,)
# Pluging acceleration
self.robot.enableAccelerationDerivator = self.derivative
if self.robot.enableAccelerationDerivator:
self.dynamicTmp.accelerationDerivator = Derivator_of_Vector('accelerationDerivator')
self.dynamicTmp.accelerationDerivator.dt.value = self.robot.timeStep
plug(self.dynamicTmp.velocityDerivator.sout, self.dynamicTmp.accelerationDerivator.sin)
plug(self.dynamicTmp.accelerationDerivator.sout, self.dynamicTmp.acceleration)
else:
self.dynamicTmp.acceleration.value = self.dynamicTmp.dimension*(0.,)
# # --- center of mass ------------
# (self.featureCom, self.featureComDes, self.taskCom, self.gainCom) = \
# self.createCenterOfMassFeatureAndTask\
# (self.dynamicTmp, '{0}_feature_com'.format(self.robot.name),
# '{0}_feature_ref_com'.format(self.robot.name),
# '{0}_task_com'.format(self.robot.name))
# --- operational points tasks -----
self.robot.features = dict()
self.robot.tasks = dict()
self.robot.gains = dict()
for op in self.robot.OperationalPoints:
opName= op + name
self.dynamicTmp.createOpPoint(op, op)
(self.robot.features[opName], self.robot.tasks[opName], self.robot.gains[opName]) = \
self.createOperationalPointFeatureAndTask(self.dynamicTmp, op,
'{0}_feature_{1}'.format(self.robot.name, opName),
'{0}_task_{1}'.format(self.robot.name, opName))
# define a member for each operational point
w = op.split('-')
memberName = w[0]
for i in w[1:]:
memberName += i.capitalize()
setattr(self, memberName, self.robot.features[opName])
# self.robot.tasks ['com'] = self.taskCom
# self.robot.features ['com'] = self.featureCom
# self.robot.gains['com'] = self.gainCom
self.robot.features['waist'+name].selec.value = '011100'
return self.dynamicTmp
class HRP2ModelBaseFlexEstimatorIMUForce(DGIMUModelBaseFlexEstimation):
def __init__(self, robot, name="flextimator"):
DGIMUModelBaseFlexEstimation.__init__(self, name)
self.setSamplingPeriod(0.005)
self.robot = robot
# Covariances
self.setProcessNoiseCovariance(
matrixToTuple(
np.diag(
(1e-8,) * 12
+ (1e-4,) * 3
+ (1e-4,) * 3
+ (1e-4,) * 3
+ (1e-4,) * 3
+ (1.0e-2,) * 6
+ (1e-15,) * 2
+ (1.0e-8,) * 3
)
)
)
self.setMeasurementNoiseCovariance(matrixToTuple(np.diag((1e-3,) * 3 + (1e-6,) * 3)))
self.setUnmodeledForceVariance(1e-13)
self.setForceVariance(1e-4)
self.setAbsolutePosVariance(1e-4)
# Contact model definition
self.setKfe(matrixToTuple(np.diag((40000, 40000, 40000))))
self.setKfv(matrixToTuple(np.diag((600, 600, 600))))
self.setKte(matrixToTuple(np.diag((600, 600, 600))))
self.setKtv(matrixToTuple(np.diag((60, 60, 60))))
# Estimator interface
self.interface = EstimatorInterface(name + "EstimatorInterface")
self.interface.setLeftHandSensorTransformation((0.0, 0.0, 1.57))
self.interface.setRightHandSensorTransformation((0.0, 0.0, 1.57))
# State and measurement definition
self.interface.setWithUnmodeledMeasurements(False)
self.interface.setWithModeledForces(True)
self.interface.setWithAbsolutePose(False)
self.setWithComBias(False)
# Contacts velocities
self.leftFootVelocity = Multiply_matrix_vector("leftFootVelocity")
plug(self.robot.frames["leftFootForceSensor"].jacobian, self.leftFootVelocity.sin1)
plug(self.robot.device.velocity, self.leftFootVelocity.sin2)
self.rightFootVelocity = Multiply_matrix_vector("rightFootVelocity")
plug(self.robot.frames["rightFootForceSensor"].jacobian, self.rightFootVelocity.sin1)
plug(self.robot.device.velocity, self.rightFootVelocity.sin2)
self.interface.setFDInertiaDot(True)
# Contacts forces, positions and velocities
# Feet
plug(self.robot.device.forceLLEG, self.interface.force_lf)
plug(self.robot.device.forceRLEG, self.interface.force_rf)
plug(self.robot.frames["leftFootForceSensor"].position, self.interface.position_lf)
plug(self.robot.frames["rightFootForceSensor"].position, self.interface.position_rf)
plug(self.leftFootVelocity.sout, self.interface.velocity_lf)
plug(self.rightFootVelocity.sout, self.interface.velocity_rf)
# Hands
plug(self.robot.device.forceLARM, self.interface.force_lh)
plug(self.robot.device.forceRARM, self.interface.force_rh)
plug(self.robot.dynamic.signal("right-wrist"), self.interface.position_lh)
plug(self.robot.dynamic.signal("left-wrist"), self.interface.position_rh)
# Strings
self.Peg = (0, 0, 4.60) # Position of the anchorage in the global frame
self.Prl1 = np.matrix(
[[1, 0, 0, 0 - 3.19997004e-02], [0, 1, 0, 0.15 - 0], [0, 0, 1, 1.28 - 1], [0, 0, 0, 1]]
) # Positions of the contacts on the robot (in the local frame) with respect to the chest
self.Prl2 = np.matrix([[1, 0, 0, 0 - 3.19997004e-02], [0, 1, 0, -0.15 - 0], [0, 0, 1, 1.28 - 1], [0, 0, 0, 1]])
(self.contact1OpPoint, self.contact1Pos, self.contact1) = self.createContact("contact1", self.Prl1, self.Peg)
(self.contact2OpPoint, self.contact2Pos, self.contact2) = self.createContact("contact2", self.Prl2, self.Peg)
plug(self.contact1.sout, self.interface.position_ls)
plug(self.contact2.sout, self.interface.position_rs)
# Contacts model and config
plug(self.interface.contactsModel, self.contactsModel)
self.setWithConfigSignal(True)
plug(self.interface.config, self.config)
# Mocap signal
self.ros = RosExport("rosExportMocap")
self.ros.add("matrixHomoStamped", "chest", "/evart/hrp2_head_sf/hrp2_head_sf")
# Filtering
self.mocapFilter = MocapDataFilter("MocapDataFilter")
plug(self.ros.signal("chest"), self.mocapFilter.sin)
self.mocapSignal = self.mocapFilter.sout
# Drift
self.drift = DriftFromMocap(name + "Drift")
plug(self.mocapSignal, self.drift.limbGlobal)
plug(self.robot.dynamic.chest, self.drift.limbLocal)
self.drift.init()
# Measurement reconstruction
plug(self.robot.device.accelerometer, self.interface.accelerometer)
plug(self.robot.device.gyrometer, self.interface.gyrometer)
plug(self.drift.driftVector, self.interface.drift)
plug(self.interface.measurement, self.measurement)
# Input reconstruction
# IMU Vector
self.inputPos = MatrixHomoToPoseUTheta(name + "InputPosition")
plug(robot.frames["accelerometer"].position, self.inputPos.sin)
self.robot.dynamic.createJacobian(name + "ChestJ_OpPoint", "chest")
self.imuOpPoint = OpPointModifier(name + "IMU_oppoint")
self.imuOpPoint.setEndEffector(False)
self.imuOpPoint.setTransformation(
matrixToTuple(
np.linalg.inv(np.matrix(self.robot.dynamic.chest.value))
* np.matrix(self.robot.frames["accelerometer"].position.value)
)
)
plug(self.robot.dynamic.chest, self.imuOpPoint.positionIN)
plug(self.robot.dynamic.signal(name + "ChestJ_OpPoint"), self.imuOpPoint.jacobianIN)
self.inputVel = Multiply_matrix_vector(name + "InputVelocity")
plug(self.imuOpPoint.jacobian, self.inputVel.sin1)
plug(self.robot.device.velocity, self.inputVel.sin2)
self.inputPosVel = Stack_of_vector(name + "InputPosVel")
plug(self.inputPos.sout, self.inputPosVel.sin1)
plug(self.inputVel.sout, self.inputPosVel.sin2)
self.inputPosVel.selec1(0, 6)
self.inputPosVel.selec2(0, 6)
self.IMUVector = PositionStateReconstructor(name + "EstimatorInput")
plug(self.inputPosVel.sout, self.IMUVector.sin)
self.IMUVector.inputFormat.value = "001111"
self.IMUVector.outputFormat.value = "011111"
self.IMUVector.setFiniteDifferencesInterval(1)
self.inputPosVel.sout.recompute(0)
self.IMUVector.setLastVector(self.inputPosVel.sout.value + (0.0,) * 6)
# CoM and derivatives
self.com = self.robot.dynamic.com
self.DCom = Multiply_matrix_vector(name + "DCom")
plug(self.robot.dynamic.Jcom, self.DCom.sin1)
plug(self.robot.device.velocity, self.DCom.sin2)
self.comVectorIn = Stack_of_vector(name + "ComVectorIn")
plug(self.com, self.comVectorIn.sin1)
plug(self.DCom.sout, self.comVectorIn.sin2)
self.comVectorIn.selec1(0, 3)
self.comVectorIn.selec2(0, 3)
self.comVector = PositionStateReconstructor(name + "ComVector")
plug(self.comVectorIn.sout, self.comVector.sin)
self.comVector.inputFormat.value = "000101"
self.comVector.outputFormat.value = "010101"
self.comVector.setFiniteDifferencesInterval(1)
self.DCom.sout.recompute(0)
self.comVector.setLastVector(self.com.value + (0.0,) * 15) # (0.,)*3+self.DCom.sout.value+(0.,)*9)
# Compute derivative of Angular Momentum
self.angMomDerivator = Derivator_of_Vector(name + "angMomDerivator")
plug(self.robot.dynamic.angularmomentum, self.angMomDerivator.sin)
self.angMomDerivator.dt.value = self.robot.timeStep
# self.angMomDerivator = PositionStateReconstructor (name+'angMomDerivator')
# plug(self.robot.dynamic.angularmomentum,self.angMomDerivator.sin)
# self.angMomDerivator.inputFormat.value = '000001'
# self.angMomDerivator.outputFormat.value = '000100'
# self.angMomDerivator.setFiniteDifferencesInterval(2)
# self.robot.dynamic.angularmomentum.recompute(0)
# self.angMomDerivator.setLastVector(self.robot.dynamic.angularmomentum.value+(0.,)*15)
# Concatenate with interface estimator
plug(self.comVector.sout, self.interface.comVector)
plug(self.robot.dynamic.inertia, self.interface.inertia)
self.interface.dinertia.value = (0, 0, 0, 0, 0, 0)
plug(self.robot.dynamic.angularmomentum, self.interface.angMomentum)
plug(self.angMomDerivator.sout, self.interface.dangMomentum)
plug(self.robot.dynamic.waist, self.interface.positionWaist)
plug(self.IMUVector.sout, self.interface.imuVector)
plug(self.interface.input, self.input)
plug(self.interface.modeledContactsNbr, self.contactNbr)
self.robot.flextimator = self
def initAbsolutePoses(self):
self.drift.init()
def createContact(self, name, prl, peg):
self.contactOpPoint = OpPointModifier(name + "_opPoint")
self.contactOpPoint.setEndEffector(False)
self.contactOpPoint.setTransformation(matrixToTuple(prl))
plug(self.robot.dynamic.chest, self.contactOpPoint.positionIN)
self.contactPos = MatrixHomoToPose(name + "_pos")
plug(self.contactOpPoint.position, self.contactPos.sin)
self.contact = Stack_of_vector(name)
self.contact.sin1.value = peg
plug(self.contactPos.sout, self.contact.sin2)
self.contact.selec1(0, 3)
self.contact.selec2(0, 3)
return (self.contactOpPoint, self.contactPos, self.contact)
