Failure-aware Policy Learning for Self-assessable Robotics Tasks
Kechun Xu,Runjian Chen,Shuqi Zhao,Zizhang Li,Hongxiang Yu,Ci Chen,Yue Wang,Rong Xiong,Kechun Xu,Runjian Chen,Shuqi Zhao,Zizhang Li,Hongxiang Yu,Ci Chen,Yue Wang,Rong Xiong
Self-assessment rules play an essential role in safe and effective real-world robotic applications, which verify the feasibility of the selected action before actual execution. But how to utilize the self-assessment results to re-choose actions remains a challenge. Previous methods eliminate the selected action evaluated as failed by the self-assessment rules, and re-choose one with the next-highe...
