Learning Active Force-torque based Policy for Sub-mm Localization of Unseen Holes
-
Updated
Jul 25, 2023 - Python
Learning Active Force-torque based Policy for Sub-mm Localization of Unseen Holes
Force-conditioned reinforcement learning for contact-rich precision insertion in Isaac Lab.
Contact-rich peg insertion with impedance control, spiral search, residual PPO, and domain randomization in Isaac Lab.
BusbarSeat — dual peg-in-hole from BESS battery pack assembly, the stage the industry still does by hand. MuJoCo.
To associate your repository with the peg-in-hole topic, visit your repo's landing page and select "manage topics."