class Test_Setup(object):
    """ Represent the components of the simulation. """
    def __init__(self, man):
        """ Initialize the simulation objects. """

        self.man = man

        # Sensors for robot.
        self.sensor = Sensors(man)

        # Create the main box.
        self.__create_main_box()

        # Create the sphere.
        self.__create_sphere()

    def __create_main_box(self):
        """ Create the main box and attach it by a rotating hinge to the ground. """

        self.man.create_box(0, [1., 1., 1.], [0., 0.5, 0.], density=5.0)
        self.man.create_ray(1, [0.5, 0.5, 0.0], [0, -90, 0])
        self.man.create_hinge(0, [0.5, 0.5, 0.], [0, 1],
                              axis=[0., 1., 0.],
                              lims=[-1., 1.],
                              max_force=100.)

        # Create the distance sensor.
        self.sensor.add_dist_sensor(self.man.geoms[1], 5.0)

    def __create_sphere(self):
        """ Create a sphere """
        self.man.create_sphere(3, 4.0, 0.5, [3.0, 0.5, 0.0])
        self.man.create_sphere(4, 4.0, 0.5, [4.0, 0.5, 0.0])

    def get_ray_distance(self):
        return self.sensor.get_raw_distance(self.man.geoms[1])

    def set_ray_distance(self, dist):
        self.sensor.set_distance(self.man.geoms[1], dist)

    def reset_ray(self):
        self.sensor.reset_distance_sensor(self.man.geoms[1])
Exemple #2
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class Worm(object):
    def __init__(self,
                 man,
                 morphology_genome={},
                 base_pos=[0, 0, 0],
                 num_joints=2,
                 logging=False,
                 log_path='./',
                 logfileprefix=''):
        """ Initialize the robot in the ODE environment. 

        Arguments:
            man: ODE Manager for the Physics Simulation
            base_pos: base position to start the robot from
            morphology_genome: dict of dicts which contain different parameters for the morphology (TODO)
            num_joints: number of joints in the worm robot
        """
        self.man = man
        self.body_keys = []

        self.logging = logging
        self.logfileprefix = logfileprefix

        # Sensors for robot.
        self.sensor = Sensors(man=man, logging=logging, log_path=log_path)

        self._num_joints = num_joints

        # morphology of the robot
        # first element in the list is the
        self.freq = morphology_genome[0]
        assert self.freq >= 0, "frequency shall not be negative!"

        # Initialize the robot.
        self.__create_robot(base_pos=base_pos)

    def __create_robot(self, base_pos=[0, 0, 0]):
        """ Create the robot used in the experiment. 

        Arguments:
            base_pos: base position to start the robot from
            morphology: optional dict of dicts defining measurements for various parts of the robot.
        """

        # Constants for the different body parts.

        # Main Body
        WORM_LENGTH = 10.
        #SEG_DIMS = morphology['seg_dims'] if 'seg_dims' in morphology else [WORM_LENGTH/(self._num_joints+1),.50,.50]
        # calculate the dimensions of a segment
        SEG_DIMS = [
            WORM_LENGTH / (self._num_joints + 1)  # x -length
            ,
            .50  # y -length
            ,
            .50
        ]  # z -length

        #BODY_POS  = [morphology['body_pos'][0]-base_pos[0],morphology['body_pos'][1]-base_pos[1],morphology['body_pos'][2]-base_pos[2]] \
        #    if 'body_pos' in morphology else [((SEG_DIMS[0]*self._num_joints)/2.)+base_pos[0],1+base_pos[1],0.0+base_pos[2]]
        # calculate the starting point of the body in the simulation environment
        BODY_POS = [
            ((SEG_DIMS[0] * self._num_joints) / 2.) + base_pos[
                0]  # align the body in x - direction, middle of the body is at base position
            ,
            1 + base_pos[1]  # lift the body in +y - direction by 1
            ,
            0.0 + base_pos[2]
        ]  # set the middle of the body's z starting position to the base position
        #BODY_MASS = morphology['body_mass'] if 'body_mass' in morphology else 5.
        BODY_MASS = 50  # hardcoded body mass value, that worked in jared's simulations

        # joint maximum forces, todo think about the values
        JOINT_FORCE = [100., 100.]

        joint_range = math.radians(90.)

        # Keep track of body and joint numbers.
        b_num = 0
        j_num = 0

        # Create the Segments
        self.body_keys.append(
            self.man.create_box(b_num,
                                SEG_DIMS,
                                BODY_POS,
                                density=BODY_MASS / (self._num_joints + 1)))
        BODY_POS[0] -= SEG_DIMS[0]
        b_num += 1

        for s in range(self._num_joints):
            self.body_keys.append(
                self.man.create_box(b_num,
                                    SEG_DIMS,
                                    BODY_POS,
                                    density=BODY_MASS /
                                    (self._num_joints + 1)))
            con_point = [
                BODY_POS[0] + SEG_DIMS[0] / 2., BODY_POS[1], BODY_POS[2]
            ]
            self.man.create_universal(j_num,
                                      con_point, [b_num - 1, b_num],
                                      axis1=[0, 0, -1],
                                      axis2=[0, 1, 0],
                                      loStop1=-joint_range,
                                      hiStop1=joint_range,
                                      loStop2=-joint_range,
                                      hiStop2=joint_range,
                                      fmax=JOINT_FORCE[0],
                                      fmax2=JOINT_FORCE[1])
            BODY_POS[0] -= SEG_DIMS[0]
            b_num += 1
            j_num += 1
            print(b_num, j_num)

        # Add in joint positions sensors.
        self.sensor.register_joint_sensors([i for i in range(j_num)])

        # Add distance sensors to the head.
        # taken from Jared's code
        # Reset body position so we put sensors on the head.
        BODY_POS = [((SEG_DIMS[0] * self._num_joints) / 2.) + base_pos[0],
                    1 + base_pos[1], 0.0 + base_pos[2]]

        # Forward looking sensor
        sensor_pos = [BODY_POS[0] + SEG_DIMS[0] / 2., BODY_POS[1], BODY_POS[2]]
        self.man.create_ray(b_num, sensor_pos, [0, -90, 0])
        self.man.create_hinge(j_num,
                              sensor_pos, [0, b_num],
                              axis=[0., 1., 0.],
                              lims=[0., 0.],
                              max_force=100.)

        # Register the sensor.
        self.sensor.add_dist_sensor(self.man.geoms[b_num], 5.0)

        b_num += 1
        j_num += 1

        # Right looking sensor
        sensor_pos = [
            BODY_POS[0] + SEG_DIMS[2] / 2., BODY_POS[1],
            BODY_POS[2] + SEG_DIMS[2] / 2.
        ]
        self.man.create_ray(b_num, sensor_pos, [0, 0, 0])
        self.man.create_hinge(j_num,
                              sensor_pos, [0, b_num],
                              axis=[0., 1., 0.],
                              lims=[0., 0.],
                              max_force=100.)

        # Register the sensor.
        self.sensor.add_dist_sensor(self.man.geoms[b_num], 15.0)

        b_num += 1
        j_num += 1

        # Left looking sensor
        sensor_pos = [
            BODY_POS[0] + SEG_DIMS[2] / 2., BODY_POS[1],
            BODY_POS[2] - SEG_DIMS[2] / 2.
        ]
        self.man.create_ray(b_num, sensor_pos, [0, 90, 0])
        self.man.create_hinge(j_num,
                              sensor_pos, [0, b_num],
                              axis=[0., 1., 0.],
                              lims=[0., 0.],
                              max_force=100.)

        # Register the sensor.
        self.sensor.add_dist_sensor(self.man.geoms[b_num], 15.0)

        b_num += 1
        j_num += 1

    def get_sensor_states(self):
        """ Get the states of the various sensors on the robot. """
        sensors = [i for i in self.sensor.get_joint_sensors()]
        sensors = [sensors[i] for i in range(0, len(sensors), 2)
                   ]  # Remove sensors for vertical axis movement (Irrelevant).
        sensors += [i for i in self.get_dist_sensor_data()
                    ]  # Add distance sensor data.s
        return sensors

    def actuate_joints_by_pos(self, positions):
        """ Actuate the joints of the worm to the specified position. 

        Arguments:
            positions: position of the joints to actuate to.
        """
        # actuate all joint according to the expected position
        for i, p in enumerate(positions):
            self.man.actuate_universal(
                i, 0, p
            )  # joint1 = 0, because we use only one joint here -> movement in z axis

    def get_avg_position(self):
        """ Get the average position of the robot. """
        avg_pos = [0, 0, 0]
        for i in range(self._num_joints + 1):
            avg_pos = [
                sum(x) for x in zip(avg_pos, self.man.get_body_position(i))
            ]

        # Average the positions.
        avg_pos = [i / (self._num_joints + 1) for i in avg_pos]

        return avg_pos

    def clear_sensors(self):
        """ Clears all sensor values
        """
        self.sensor.clear_sensors()

    def log_sensor_data(self):
        self.sensor.dump_sensor_data(self.logfileprefix)

    def sensor_step(self, cur_time):
        self.sensor.step(cur_time)

    def reset_touch_sensors(self):
        """ Reset the touch sensors. """
        self.sensor.clear_touching()

    def get_ray_distance(self, geom):
        return self.sensor.get_raw_distance(
            self.man.geoms[self.man.get_geom_key(geom)])

    def get_scaled_ray_distance(self, geom):
        return self.sensor.get_scaled_distance(
            self.man.geoms[self.man.get_geom_key(geom)])

    def get_dist_sensor_data(self):
        return self.sensor.get_scaled_distances()

    def set_ray_distance(self, geom, dist):
        self.sensor.set_distance(self.man.geoms[self.man.get_geom_key(geom)],
                                 dist)

    def reset_distance_sensors(self):
        self.sensor.reset_distance_sensors()