Austin Narcomey

Self-Annotation Methods for Aligning Implicit and Explicit Human Feedback in Human-Robot Interaction

Recent research in robot learning suggests that implicit human feedback is a low-cost approach to improving robot behavior without the typical teaching burden on users. Because implicit feedback can be difficult to interpret, though, we study different methods to collect fine-grained labels from users about robot perf…