def __init__(self, robot):
self.robot = robot
self.startTime = None
self.realStartTime = time.time()
self.paramsLoader = SoftHandLoader(
'/home/arocchi/Klampt/data/robots/soft_hand.urdf')
self.hand = dict()
self.mimic = dict()
self.n_dofs = 0
self.q_a_ref = 0.0
self.K_p = 3.0
self.K_d = 0.03
self.K_i = 0.01
self.q_a_int = 0.0
self.K_p_m = 3.0
self.K_d_m = 0.03
self.synergy_reduction = 7.0 # convert cable tension into motor torque
print "Loaded robot name is:", robot.getName()
print "Number of Drivers:", robot.numDrivers()
if robot.getName() == "soft_hand":
self.n_dofs = robot.numDrivers()
self.a_dofs = 1
else:
raise Exception('loaded robot is not a soft hand')
self.u_to_n = [
] # will contain a map from underactuated joint id (excluding mimics) to driver id
self.a_to_n = [] # will contain a map from actuated id to driver id
self.m_to_n = [
] # will contain a map from mimic joints id to driver id
self.n_to_u = np.array(self.n_dofs * [-1])
self.n_to_m = np.array(self.n_dofs * [-1])
self.q_to_t = np.array(range(4, self.n_dofs + 4))
# loading previously defined maps
for i in xrange(robot.numDrivers()):
driver = robot.getDriver(i)
print "Driver ", i, ": ", driver.getName()
_, _, finger, phalanx, fake_id = driver.getName().split('_')
if phalanx == "fake":
if not self.mimic.has_key(finger):
self.mimic[finger] = []
self.mimic[finger].append(i)
self.m_to_n.append(i)
m_id = len(self.m_to_n) - 1
self.n_to_m[i] = m_id
elif phalanx == "wire":
self.a_to_n.append(i)
else:
if not self.hand.has_key(finger):
self.hand[finger] = dict()
self.hand[finger][phalanx] = i
self.u_to_n.append(i)
u_id = len(self.u_to_n) - 1
self.n_to_u[i] = u_id
self.u_dofs = len(self.u_to_n)
self.m_dofs = len(self.m_to_n)
# will contain a map from underactuated joint to mimic joints
# this means, for example, that joint id 1 has to be matched by mimic joint 19
self.m_to_u = self.m_dofs * [-1]
for finger in self.hand.keys():
for phalanx in self.hand[finger].keys():
joint_count = 0
if phalanx == 'abd':
continue
else:
m_id = self.n_to_m[self.mimic[finger][joint_count]]
self.m_to_u[m_id] = self.n_to_u[self.hand[finger][phalanx]]
joint_count = joint_count + 1
# loading elasticity and reduction map
self.R = np.array(self.u_dofs * [0.0]).T
self.E = np.eye(self.u_dofs)
for i in xrange(robot.numDrivers()):
driver = robot.getDriver(i)
_, _, finger, phalanx, fake_id = driver.getName().split('_')
u_id = self.n_to_u[i]
if u_id != -1:
joint_position = self.paramsLoader.phalanxToJoint(
finger, phalanx)
self.R[u_id] = self.paramsLoader.handParameters[finger][
joint_position]['r']
self.E[u_id, u_id] = self.paramsLoader.handParameters[finger][
joint_position]['e']
print 'Soft Hand loaded.'
print 'Mimic Joint Indices:', self.mimic
print 'Underactuated Joint Indices:', self.hand
print 'Joint parameters:', self.paramsLoader.handParameters
print 'R:', self.R
#self.E = 20 * self.E
print 'E:', self.E
def __init__(self,robot):
self.robot = robot
self.startTime = None
self.realStartTime = time.time()
self.paramsLoader = SoftHandLoader('/home/arocchi/Klampt/data/robots/soft_hand.urdf')
self.hand = dict()
self.mimic = dict()
self.n_dofs = 0
self.q_a_ref = 0.0
self.K_p = 3.0
self.K_d = 0.03
self.K_i = 0.01
self.q_a_int = 0.0
self.K_p_m = 3.0
self.K_d_m = 0.03
self.synergy_reduction = 7.0 # convert cable tension into motor torque
print "Loaded robot name is:", robot.getName()
print "Number of Drivers:", robot.numDrivers()
if robot.getName() == "soft_hand":
self.n_dofs = robot.numDrivers()
self.a_dofs = 1
else:
raise Exception('loaded robot is not a soft hand')
self.u_to_n = [] # will contain a map from underactuated joint id (excluding mimics) to driver id
self.a_to_n = [] # will contain a map from actuated id to driver id
self.m_to_n = [] # will contain a map from mimic joints id to driver id
self.n_to_u = np.array(self.n_dofs*[-1])
self.n_to_m = np.array(self.n_dofs*[-1])
self.q_to_t = np.array(range(4,self.n_dofs+4))
# loading previously defined maps
for i in xrange(robot.numDrivers()):
driver = robot.getDriver(i)
print "Driver ", i, ": ", driver.getName()
_,_,finger, phalanx,fake_id = driver.getName().split('_')
if phalanx == "fake":
if not self.mimic.has_key(finger):
self.mimic[finger] = []
self.mimic[finger].append(i)
self.m_to_n.append(i)
m_id = len(self.m_to_n)-1
self.n_to_m[i] = m_id
elif phalanx == "wire":
self.a_to_n.append(i)
else:
if not self.hand.has_key(finger):
self.hand[finger] = dict()
self.hand[finger][phalanx] = i
self.u_to_n.append(i)
u_id = len(self.u_to_n)-1
self.n_to_u[i] = u_id
self.u_dofs = len(self.u_to_n)
self.m_dofs = len(self.m_to_n)
# will contain a map from underactuated joint to mimic joints
# this means, for example, that joint id 1 has to be matched by mimic joint 19
self.m_to_u = self.m_dofs*[-1]
for finger in self.hand.keys():
for phalanx in self.hand[finger].keys():
joint_count = 0
if phalanx == 'abd':
continue
else:
m_id = self.n_to_m[self.mimic[finger][joint_count]]
self.m_to_u[m_id] = self.n_to_u[self.hand[finger][phalanx]]
joint_count = joint_count+1
# loading elasticity and reduction map
self.R = np.array(self.u_dofs*[0.0]).T
self.E = np.eye(self.u_dofs)
for i in xrange(robot.numDrivers()):
driver = robot.getDriver(i)
_,_,finger, phalanx,fake_id = driver.getName().split('_')
u_id = self.n_to_u[i]
if u_id != -1:
joint_position = self.paramsLoader.phalanxToJoint(finger,phalanx)
self.R[u_id] = self.paramsLoader.handParameters[finger][joint_position]['r']
self.E[u_id,u_id] = self.paramsLoader.handParameters[finger][joint_position]['e']
print 'Soft Hand loaded.'
print 'Mimic Joint Indices:', self.mimic
print 'Underactuated Joint Indices:', self.hand
print 'Joint parameters:', self.paramsLoader.handParameters
print 'R:', self.R
#self.E = 20 * self.E
print 'E:', self.E
class SoftHandController(BaseController):
"""A controller for the SoftHand"""
def __init__(self, robot):
self.robot = robot
self.startTime = None
self.realStartTime = time.time()
self.paramsLoader = SoftHandLoader(
'/home/arocchi/Klampt/data/robots/soft_hand.urdf')
self.hand = dict()
self.mimic = dict()
self.n_dofs = 0
self.q_a_ref = 0.0
self.K_p = 3.0
self.K_d = 0.03
self.K_i = 0.01
self.q_a_int = 0.0
self.K_p_m = 3.0
self.K_d_m = 0.03
self.synergy_reduction = 7.0 # convert cable tension into motor torque
print "Loaded robot name is:", robot.getName()
print "Number of Drivers:", robot.numDrivers()
if robot.getName() == "soft_hand":
self.n_dofs = robot.numDrivers()
self.a_dofs = 1
else:
raise Exception('loaded robot is not a soft hand')
self.u_to_n = [
] # will contain a map from underactuated joint id (excluding mimics) to driver id
self.a_to_n = [] # will contain a map from actuated id to driver id
self.m_to_n = [
] # will contain a map from mimic joints id to driver id
self.n_to_u = np.array(self.n_dofs * [-1])
self.n_to_m = np.array(self.n_dofs * [-1])
self.q_to_t = np.array(range(4, self.n_dofs + 4))
# loading previously defined maps
for i in xrange(robot.numDrivers()):
driver = robot.getDriver(i)
print "Driver ", i, ": ", driver.getName()
_, _, finger, phalanx, fake_id = driver.getName().split('_')
if phalanx == "fake":
if not self.mimic.has_key(finger):
self.mimic[finger] = []
self.mimic[finger].append(i)
self.m_to_n.append(i)
m_id = len(self.m_to_n) - 1
self.n_to_m[i] = m_id
elif phalanx == "wire":
self.a_to_n.append(i)
else:
if not self.hand.has_key(finger):
self.hand[finger] = dict()
self.hand[finger][phalanx] = i
self.u_to_n.append(i)
u_id = len(self.u_to_n) - 1
self.n_to_u[i] = u_id
self.u_dofs = len(self.u_to_n)
self.m_dofs = len(self.m_to_n)
# will contain a map from underactuated joint to mimic joints
# this means, for example, that joint id 1 has to be matched by mimic joint 19
self.m_to_u = self.m_dofs * [-1]
for finger in self.hand.keys():
for phalanx in self.hand[finger].keys():
joint_count = 0
if phalanx == 'abd':
continue
else:
m_id = self.n_to_m[self.mimic[finger][joint_count]]
self.m_to_u[m_id] = self.n_to_u[self.hand[finger][phalanx]]
joint_count = joint_count + 1
# loading elasticity and reduction map
self.R = np.array(self.u_dofs * [0.0]).T
self.E = np.eye(self.u_dofs)
for i in xrange(robot.numDrivers()):
driver = robot.getDriver(i)
_, _, finger, phalanx, fake_id = driver.getName().split('_')
u_id = self.n_to_u[i]
if u_id != -1:
joint_position = self.paramsLoader.phalanxToJoint(
finger, phalanx)
self.R[u_id] = self.paramsLoader.handParameters[finger][
joint_position]['r']
self.E[u_id, u_id] = self.paramsLoader.handParameters[finger][
joint_position]['e']
print 'Soft Hand loaded.'
print 'Mimic Joint Indices:', self.mimic
print 'Underactuated Joint Indices:', self.hand
print 'Joint parameters:', self.paramsLoader.handParameters
print 'R:', self.R
#self.E = 20 * self.E
print 'E:', self.E
def output(self, **inputs):
api = ControllerAPI(inputs)
t = api.time()
if self.startTime == None:
self.startTime = t
t = t - self.startTime
torque = np.array(self.n_dofs * [0.0])
q = np.array(api.sensedConfiguration())
q = q[self.q_to_t]
dq = np.array(api.sensedVelocity())
dq = dq[self.q_to_t]
dq_a = dq[self.a_to_n]
dq_u = dq[self.u_to_n]
dq_m = dq[self.m_to_n]
q_a = q[self.a_to_n]
q_u = q[self.u_to_n]
q_m = q[self.m_to_n]
while self.q_a_ref < 1.0:
self.q_a_ref = self.q_a_ref + 0.001
R_E_inv_R_T_inv = 1.0 / (self.R.dot(np.linalg.inv(self.E)).dot(
self.R.T))
sigma = q_a # q_a goes from 0.0 to 1.0
f_a = R_E_inv_R_T_inv * sigma * self.synergy_reduction
torque_a = self.K_p*(self.q_a_ref - q_a) \
+ self.K_d*(0.0 - dq_a) \
+ self.K_i*self.q_a_int \
- (f_a / self.synergy_reduction)
torque_u = self.R.T * f_a - self.E.dot(q_u)
torque_m = self.K_p_m * (q_u[self.m_to_u] - q_m) - self.K_d_m * dq_m
torque[self.a_to_n] = torque_a
torque[self.u_to_n] = torque_u
torque[self.m_to_n] = torque_m
#print 'q_u:', q_u
#print 'q_a_ref-q_a:',self.q_a_ref-q_a
#print 'q_u-q_m:', q_u[self.m_to_u]-q_m
#print 'tau_u:', torque_u
return api.makeTorqueCommand(torque)
class SoftHandController(BaseController):
"""A controller for the SoftHand"""
def __init__(self,robot):
self.robot = robot
self.startTime = None
self.realStartTime = time.time()
self.paramsLoader = SoftHandLoader('/home/arocchi/Klampt/data/robots/soft_hand.urdf')
self.hand = dict()
self.mimic = dict()
self.n_dofs = 0
self.q_a_ref = 0.0
self.K_p = 3.0
self.K_d = 0.03
self.K_i = 0.01
self.q_a_int = 0.0
self.K_p_m = 3.0
self.K_d_m = 0.03
self.synergy_reduction = 7.0 # convert cable tension into motor torque
print "Loaded robot name is:", robot.getName()
print "Number of Drivers:", robot.numDrivers()
if robot.getName() == "soft_hand":
self.n_dofs = robot.numDrivers()
self.a_dofs = 1
else:
raise Exception('loaded robot is not a soft hand')
self.u_to_n = [] # will contain a map from underactuated joint id (excluding mimics) to driver id
self.a_to_n = [] # will contain a map from actuated id to driver id
self.m_to_n = [] # will contain a map from mimic joints id to driver id
self.n_to_u = np.array(self.n_dofs*[-1])
self.n_to_m = np.array(self.n_dofs*[-1])
self.q_to_t = np.array(range(4,self.n_dofs+4))
# loading previously defined maps
for i in xrange(robot.numDrivers()):
driver = robot.getDriver(i)
print "Driver ", i, ": ", driver.getName()
_,_,finger, phalanx,fake_id = driver.getName().split('_')
if phalanx == "fake":
if not self.mimic.has_key(finger):
self.mimic[finger] = []
self.mimic[finger].append(i)
self.m_to_n.append(i)
m_id = len(self.m_to_n)-1
self.n_to_m[i] = m_id
elif phalanx == "wire":
self.a_to_n.append(i)
else:
if not self.hand.has_key(finger):
self.hand[finger] = dict()
self.hand[finger][phalanx] = i
self.u_to_n.append(i)
u_id = len(self.u_to_n)-1
self.n_to_u[i] = u_id
self.u_dofs = len(self.u_to_n)
self.m_dofs = len(self.m_to_n)
# will contain a map from underactuated joint to mimic joints
# this means, for example, that joint id 1 has to be matched by mimic joint 19
self.m_to_u = self.m_dofs*[-1]
for finger in self.hand.keys():
for phalanx in self.hand[finger].keys():
joint_count = 0
if phalanx == 'abd':
continue
else:
m_id = self.n_to_m[self.mimic[finger][joint_count]]
self.m_to_u[m_id] = self.n_to_u[self.hand[finger][phalanx]]
joint_count = joint_count+1
# loading elasticity and reduction map
self.R = np.array(self.u_dofs*[0.0]).T
self.E = np.eye(self.u_dofs)
for i in xrange(robot.numDrivers()):
driver = robot.getDriver(i)
_,_,finger, phalanx,fake_id = driver.getName().split('_')
u_id = self.n_to_u[i]
if u_id != -1:
joint_position = self.paramsLoader.phalanxToJoint(finger,phalanx)
self.R[u_id] = self.paramsLoader.handParameters[finger][joint_position]['r']
self.E[u_id,u_id] = self.paramsLoader.handParameters[finger][joint_position]['e']
print 'Soft Hand loaded.'
print 'Mimic Joint Indices:', self.mimic
print 'Underactuated Joint Indices:', self.hand
print 'Joint parameters:', self.paramsLoader.handParameters
print 'R:', self.R
#self.E = 20 * self.E
print 'E:', self.E
def output(self,**inputs):
api = ControllerAPI(inputs)
t = api.time()
if self.startTime == None:
self.startTime = t
t = t - self.startTime
torque = np.array(self.n_dofs * [0.0])
q = np.array(api.sensedConfiguration());
q = q[self.q_to_t]
dq = np.array(api.sensedVelocity()); dq = dq[self.q_to_t]
dq_a = dq[self.a_to_n]
dq_u = dq[self.u_to_n]
dq_m = dq[self.m_to_n]
q_a = q[self.a_to_n]
q_u = q[self.u_to_n]
q_m = q[self.m_to_n]
while self.q_a_ref < 1.0:
self.q_a_ref = self.q_a_ref + 0.001
R_E_inv_R_T_inv = 1.0 / (self.R.dot(np.linalg.inv(self.E)).dot(self.R.T))
sigma = q_a # q_a goes from 0.0 to 1.0
f_a = R_E_inv_R_T_inv * sigma * self.synergy_reduction
torque_a = self.K_p*(self.q_a_ref - q_a) \
+ self.K_d*(0.0 - dq_a) \
+ self.K_i*self.q_a_int \
- (f_a / self.synergy_reduction)
torque_u = self.R.T*f_a - self.E.dot(q_u)
torque_m = self.K_p_m*(q_u[self.m_to_u] - q_m) - self.K_d_m*dq_m
torque[self.a_to_n] = torque_a
torque[self.u_to_n] = torque_u
torque[self.m_to_n] = torque_m
#print 'q_u:', q_u
#print 'q_a_ref-q_a:',self.q_a_ref-q_a
#print 'q_u-q_m:', q_u[self.m_to_u]-q_m
#print 'tau_u:', torque_u
return api.makeTorqueCommand(torque)