Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors.
Project description
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
This python package provides the code to learn torque-limited and collision-free robot trajectories without exceeding limits on the position, velocity, acceleration and jerk of each robot joint.
Installation
The package can be installed by running
pip install safemotions
Trajectory generation
To generate a random trajectory with a single robot run
python -m safemotions.random_agent
For a demonstration scenario with two robots run
python -m safemotions.random_agent --robot_scene=1
Collision-free trajectories for three robots can be generated by running
python -m safemotions.random_agent --robot_scene=2
Pretrained networks
Pretrained networks for various reaching tasks are provided.
To generate and plot trajectories for a reaching task with a single robot run
python -m safemotions.evaluate --checkpoint=one_robot/P_CT_S_5_J_A --use_gui --plot_trajectory --plot_actual_torques
Trajectories for two and three robots with alternating target points can be generated by running
python -m safemotions.evaluate --checkpoint=two_robots/P_C_S_1_J_A_D_5_T_A --use_gui
and
python -m safemotions.evaluate --checkpoint=three_robots/P_C_S_1_J_A_D_5_T_A --use_gui
Training
Networks can also be trained from scratch. For instance, a reaching task with a single robot can be learned by running
python -m safemotions.train --logdir=safemotions_training --name=One_robot_P_CT_S_5_J_A --robot_scene=0 --online_trajectory_time_step=0.1 --online_trajectory_duration=8.0 --use_target_points --target_point_cartesian_range_scene=0 --target_link_offset="[0, 0, 0.126]" --target_point_radius=0.065 --obs_add_target_point_pos --obs_add_target_point_relative_pos --obstacle_scene=3 --obstacle_use_computed_actual_values --use_braking_trajectory_method --closest_point_safety_distance=0.05 --check_braking_trajectory_torque_limits --acc_limit_factor_braking=0.75 --jerk_limit_factor_braking=0.75 --punish_action --action_punishment_min_threshold=0.95 --action_max_punishment=0.4 --target_point_reached_reward_bonus=5 --pos_limit_factor=1.0 --vel_limit_factor=1.0 --acc_limit_factor=1.0 --jerk_limit_factor=1.0 --torque_limit_factor=1.0 --iterations_per_checkpoint=100 --time=216
Publication
The corresponding publication is available at https://arxiv.org/abs/2103.03793.
Disclaimer
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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