A Visual Reinforcement Learning-Based Separate Primitive Policy for Peg-in-Hole Tasks

Zichun Xu, Zhaomin Wang, Yuntao Li +4

For peg-in-hole tasks, humans rely on binocular visual perception to locate the peg above the hole surface and then proceed with insertion. This paper draws insights from this beha…