Michael Koehle

ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly

Generalizable long-horizon robotic assembly requires reasoning at multiple levels of abstraction. While end-to-end imitation learning (IL) is a promising approach, it typically requires large amounts of expert demonstration data and often struggles to achieve the high precision demanded by assembly…