2020
Deep Imitation Learning for Bimanual Robotic Manipulation
NeurIPS 2020poster
We present a deep imitation learning framework for robotic bimanual manipulation in a continuous state-action space. A core challenge is to generalize the manipulation skills to objects in different locations. We hypothesize that modeling the relational information in the environment can significan…