Conference Proceedings

Mr.LfD: A Mixed Reality Interface for Robot Learning from Demonstration

Jiahao Chen, D Antony Chacon, Muhammad Bilal, Qiushi Zhou, Wafa Johal

Proceedings of the 36th Australasian Conference on Human-Computer Interaction | ACM | Published : 2024

Abstract

Learning from Demonstration (LfD) plays a crucial role in human-robot interaction (HRI), enabling humans to teach robots desired behaviours by demonstration. Advances in mixed reality (MR) have introduced novel HRI techniques that overcome physical constraints and offer immersive experiences. However, MR integration with LfD remains under explored. We present Mr.LfD, an MR interface for robot LfD that supports kinesthetic teaching and teleoperation, enhanced by 3D visualisations of the robot’s status, while using hand-tracking for real-time control. A user study measured performance through completion time and attempts, with questionnaires for feedback. Participants found our MR teleoperatio..

View full abstract

University of Melbourne Researchers