Cross Domain Robot Imitation with Invariant Representation
Zhao-Heng Yin,Lingfeng Sun,Hengbo Ma,Masayoshi Tomizuka,Wu-Jun Li,Zhao-Heng Yin,Lingfeng Sun,Hengbo Ma,Masayoshi Tomizuka,Wu-Jun Li
Animals are able to imitate each others' behavior, despite their difference in biomechanics. In contrast, imitating other similar robots is a much more challenging task in robotics. This problem is called cross domain imitation learning (CDIL). In this paper, we consider CDIL on a class of similar robots. We tackle this problem by introducing an imitation learning algorithm based on invariant repr...
