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

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 teleoperation interface more user-friendly than kinesthetic teaching. We found that the robot status visualisation effectively bridged the information gap, enhancing communication and maintaining user focus on the robot. We envision potential for implementing and extending Mr.LfD, and illuminate future research directions.

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Publication Details

Published
2024-11-30
DOI
https://doi.org/10.1145/3726986.3727004
Citations
3
Primary Topic
Wireless Signal Modulation Classification
Type
article
Field-Weighted Citation Impact
1.04
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article

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

3 citations
Wireless Signal Modulation Classification
1.04
article

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

article en
3 citations

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 teleoperation interface more user-friendly than kinesthetic teaching. We found that the robot status visualisation effectively bridged the information gap, enhancing communication and maintaining user focus on the robot. We envision potential for implementing and extending Mr.LfD, and illuminate future research directions.

The University of Melbourne (AU), Aarhus University (DK)
Quality Education
Openalex Percentile: Top 17%
Wireless Signal Modulation Classification
1.04
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Mr.LfD: A Mixed Reality Interface for Robot Learning from Demonstration · (2024) | TGRS Research Map | TGRS