2024
Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach
IROS 2024poster
Automatically detecting and recovering from failures is an important but challenging problem for autonomous robots. Most of the recent work on learning to plan from demonstrations lacks the ability to detect and recover from errors in the absence of an explicit state representation and/or a (sub-) g…