ManipForce

gist-ailab

Force-guided policy learning with frequency-aware representations for contact-rich manipulation.

What you can explore

Explore how force signals are processed alongside policy observations and training.

Before you use it

This is broader manipulation research. Confirm sensor placement, data synchronization and action space before adapting it to dexterous-hand control.

Original contributors

Geonhyup Lee, Youngjin Lee, Kangmin Kim, Seongju Lee, Sangjun Noh, Seunghyeok Back and Kyoobin Lee

License / access: Reuse terms not established in the reviewed material; confirm with the original authors

Original code & documentation

Editorial reference · checked 2026-09-22