talos.py 6.55 KB
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# -*- coding: utf-8 -*-
# Copyright 2016, Olivier STASSE, LAAS-CNRS
#
# This file is part of TALOSController.
# TALOSController is free software: you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public License
# as published by the Free Software Foundation, either version 3 of
# the License, or (at your option) any later version.
#
# TALOSController is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
# General Lesser Public License for more details.  You should have
# received a copy of the GNU Lesser General Public License along with
# TALOSController. If not, see <http://www.gnu.org/licenses/>.

from __future__ import print_function

import numpy as np

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from dynamic_graph.sot.dynamics_pinocchio.humanoid_robot import AbstractHumanoidRobot
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from dynamic_graph.sot.dynamics_pinocchio import DynamicPinocchio
from dynamic_graph import plug

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import pinocchio as se3
from rospkg import RosPack
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# Internal helper tool.
def matrixToTuple(M):
    tmp = M.tolist()
    res = []
    for i in tmp:
        res.append(tuple(i))
    return tuple(res)

class Talos(AbstractHumanoidRobot):
    """
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    This class defines a Talos robot
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    """

    forceSensorInLeftAnkle =  ((1.,0.,0.,0.),
                               (0.,1.,0.,0.),
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                               (0.,0.,1.,-0.107),
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                               (0.,0.,0.,1.))
    forceSensorInRightAnkle = ((1.,0.,0.,0.),
                               (0.,1.,0.,0.),
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                               (0.,0.,1.,-0.107),
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                               (0.,0.,0.,1.))
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    """
    TODO: Confirm the position and existence of these sensors
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    accelerometerPosition = np.matrix ((
            (1., 0., 0., -.13,),
            (0., 1., 0., 0.,),
            (0., 0., 1., .118,),
            (0., 0., 0., 1.,),
            ))

    gyrometerPosition = np.matrix ((
            (1., 0., 0., -.13,),
            (0., 1., 0., 0.,),
            (0., 0., 1., .118,),
            (0., 0., 0., 1.,),
            ))
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    """
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    def smallToFull(self, config):
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        #Gripper position in full configuration: 27:34, and 41:48
        #Small configuration: 36 DOF
        #Full configuration: 50 DOF
        res = config[0:27] + 7*(0.,) + config[27:34]+ 7*(0.,)+config[34:]
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        return res

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    def __init__(self, name, initialConfig, device = None, tracer = None):
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        self.OperationalPointsMap = {'left-wrist'  : 'arm_left_7_joint',
                                     'right-wrist' : 'arm_right_7_joint',
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                                     'left-ankle'  : 'leg_left_6_joint',
                                     'right-ankle' : 'leg_right_6_joint',
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                                     'gaze'        : 'head_2_joint',
                                     'waist'       : 'root_joint',
                                     'chest'       : 'torso_2_joint'}

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        from rospkg import RosPack
        rospack = RosPack()
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        urdfPath = rospack.get_path('talos_data')+"/urdf/talos_reduced_v2.urdf"
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        urdfDir = [rospack.get_path('talos_data')+"/../"]
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        # Create a wrapper to access the dynamic model provided through an urdf file.
        from pinocchio.robot_wrapper import RobotWrapper
        import pinocchio as se3
        from dynamic_graph.sot.dynamics_pinocchio import fromSotToPinocchio
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        pinocchioRobot = RobotWrapper()
        pinocchioRobot.initFromURDF(urdfPath, urdfDir, se3.JointModelFreeFlyer())
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        self.pinocchioModel = pinocchioRobot.model
        self.pinocchioData = pinocchioRobot.data

        AbstractHumanoidRobot.__init__ (self, name, tracer)

        self.OperationalPoints.append('waist')
        self.OperationalPoints.append('chest')

        # Create rigid body dynamics model and data (pinocchio) 
        self.dynamic = DynamicPinocchio(self.name + "_dynamic")
        self.dynamic.setModel(self.pinocchioModel)
        self.dynamic.setData(self.pinocchioData)
        self.dimension = self.dynamic.getDimension()

        # Initialize device
        self.device = device
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        self.timeStep = self.device.getTimeStep()
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        self.device.resize(self.dynamic.getDimension())
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        # TODO For position limit, we remove the first value to get
        # a vector of the good size because SoT use euler angles and not
        # quaternions...
        self.device.setPositionBounds (
                self.pinocchioModel.lowerPositionLimit.T.tolist()[0][1:],
                self.pinocchioModel.upperPositionLimit.T.tolist()[0][1:])
        self.device.setVelocityBounds (
                (-self.pinocchioModel.velocityLimit).T.tolist()[0],
                  self.pinocchioModel.velocityLimit .T.tolist()[0])
        self.device.setTorqueBounds (
                (-self.pinocchioModel.effortLimit).T.tolist()[0],
                  self.pinocchioModel.effortLimit .T.tolist()[0])
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        self.halfSitting = initialConfig
        self.device.set(self.halfSitting)
        plug(self.device.state, self.dynamic.position)

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        self.AdditionalFrames.append(
            ("leftFootForceSensor",
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             self.forceSensorInLeftAnkle, self.OperationalPointsMap["left-ankle"]))
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        self.AdditionalFrames.append(
            ("rightFootForceSensor",
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             self.forceSensorInRightAnkle, self.OperationalPointsMap["right-ankle"]))
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        self.dimension = self.dynamic.getDimension()
        self.plugVelocityFromDevice = True
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        self.dynamic.displayModel()
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        # Initialize velocity derivator if chosen
        if self.enableVelocityDerivator:
            self.velocityDerivator = Derivator_of_Vector('velocityDerivator')
            self.velocityDerivator.dt.value = self.timeStep
            plug(self.device.state, self.velocityDerivator.sin)
            plug(self.velocityDerivator.sout, self.dynamic.velocity)
        else:
            self.dynamic.velocity.value = self.dimension*(0.,)

        # Initialize acceleration derivator if chosen            
        if self.enableAccelerationDerivator:
            self.accelerationDerivator = \
                Derivator_of_Vector('accelerationDerivator')
            self.accelerationDerivator.dt.value = self.timeStep
            plug(self.velocityDerivator.sout,
                 self.accelerationDerivator.sin)
            plug(self.accelerationDerivator.sout, self.dynamic.acceleration)
        else:
            self.dynamic.acceleration.value = self.dimension*(0.,)

        # Create operational points based on operational points map (if provided)
        if self.OperationalPointsMap is not None:
            self.initializeOpPoints()

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__all__ = [Talos]