Skip to main content

Python bindings for dm_robotics/cpp/controllers

Project description

DM Robotics: Controllers Library (Python)

Contents:

Cartesian 6D to Joint Velocity Mapper

Python bindings for dm_robotics/controllers/lsqp/cartesian_6d_to_joint_velocity_mapper.

This module consists of two classes:

  • cartesian_6d_to_joint_velocity_mapper.Parameters
  • cartesian_6d_to_joint_velocity_mapper.Mapper

The mapper solves a constrained linear least-squares optimization problem at every iteration to compute the joint velocities that best achieve the desired Cartesian 6D velocity of an object.

In its most basic configuration, it computes the joint velocities that achieve the desired Cartesian 6d velocity with singularity robustness. In addition, this mapper also supports the following functionality:

  • Nullspace control can be enabled to bias the joint velocities to a desired value without affecting the accuracy of the resultant Cartesian velocity;
  • Collision avoidance can be enabled between any two MuJoCo geoms;
  • Limits on the joint positions, velocities, and accelerations can be defined to ensure that the computed joint velocities do not result in limit violations.

Please refer to dm_robotics/controllers/lsqp/cartesian_6d_to_joint_velocity_mapper.h or the class docstrings for more information.

Dependencies:

  • dm_robotics/least_squares_qp
  • dm_robotics/controllers
  • dm_control

Usage

from dm_control import mujoco
from dm_control.mujoco.wrapper.mjbindings import enums
from dm_robotics.controllers import cartesian_6d_to_joint_velocity_mapper

# Initialize simulation. Assumes velocity controlled robot.
# physics.data.ctrl[:] is an array of size 7 that corresponds to the commanded
# velocities of the joints with IDs 7, 8, 9, 10, 12, 13, 14.
physics = mujoco.Physics(...) # Create MuJoCo physics.

# Create mapper parameters.
params = cartesian_6d_to_joint_velocity_mapper.Parameters()
#
# Set model parameters.
params.model = physics.model
params.joint_ids = [7, 8, 9, 10, 12, 13, 14]  # MuJoCo joint IDs being controlled.
params.object_type = enums.mjtObj.mjOBJ_SITE  # MuJoCo object being controlled.
params.object_name = "end_effector"  # name of MuJoCo object being controlled.
params.integration_timestep = 0.005  # Amount of time the joint velocities will be executed for.
#
# Enable joint position limit constraint. Limits are read automatically from the
# model.
params.enable_joint_position_limits = True
params.joint_position_limit_velocity_scale = 0.95
params.minimum_distance_from_joint_position_limit = 0.01  # ~0.5deg.
#
# Enable joint velocity limits.
params.enable_joint_velocity_limits = True
params.joint_velocity_magnitude_limits = [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5]
#
# Enable joint acceleration limits.
params.enable_joint_acceleration_limits = True
params.remove_joint_acceleration_limits_if_in_conflict = True
params.joint_acceleration_magnitude_limits = [10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0]
#
# Enable collision avoidance between the following geoms:
#   * "gripper" and "base_link"
#   * "base_link" and "floor"
#   * "link1" and "floor"
#   * "gripper" and "floor"
#   * "link1" and "link4"
#   * "link1" and "link5"
#   * "link1" and "link6"
#   * "link2" and "link4"
#   * "link2" and "link5"
#   * "link2" and "link6"
# Note that collision avoidance will not be enabled for a pair of geoms if they
# are attached to the same body or are attached to bodies that have a
# parent-child relationship.
params.enable_collision_avoidance = True
params.collision_avoidance_normal_velocity_scale = 0.5
params.minimum_distance_from_collisions = 0.01
params.collision_detection_distance = 0.3
params.collision_pairs = [(["gripper"], ["base_link"]),
                          (["base_link", "link1", "gripper"], ["floor"]),
                          (["link1", "link2"], ["link4", "link5", "link6"])]
#
# Numerical stability parameters.
params.check_solution_validity = True
params.solution_tolerance = 1e-3
params.regularization_weight = 1e-2
params.enable_nullspace_control = True
params.return_error_on_nullspace_failure = False
params.nullspace_projection_slack = 1e-7

# Create mapper.
mapper = cartesian_6d_to_joint_velocity_mapper.Mapper(params)

# Compute joint velocities and apply them to the joint velocity actuator
# commands at every step.
while True:
  # The nullspace bias is often chosen to be a velocity towards the mid-range of
  # the joints, but can be chosen to be any 7D joint velocity vector.
  nullspace_joint_velocity_bias = get_nullspace_bias()
  target_cartesian_velocity = get_end_effector_target_velocity()
  solution = mapper.compute_joint_velocities(physics.data, target_velocity,
                                             nullspace_bias)
  physics.data.ctrl[:] = solution
  physics.step()

Project details


Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page