dual_ur5_arm
A half-done implementation of an imitation learning approach to dual-arm peg-in-hole task, together with some other tools.
Only dual-arm movements are considered in learning, force is not considered.
Some useful tools
- Time Optimal Path Parameterization that converts a path into time-optimal trajectory while considering velocity and acceleration limits.
(1) TOTG: A service implemented inraw_totg
folder, using code from ROS implementation.
(2) TOPP and TOPP-RA: Services implemented indual_ur5_control/script/
folder asTOPP_service.py
andTOPPRA_service.py
.