Workspace Optimization Techniques to Improve Prediction of Human Motion During Human-Robot Collaboration

Understanding human intentions is critical for safe and effective human-robot collaboration. While state of the art methods for human goal prediction utilize learned models to account for the uncertainty of human motion data, that data is inherently stochastic and high variance, hindering those mode...

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Bibliographic Details

Published in:	2024 19th ACM/IEEE International Conference on Human-Robot Interaction (HRI) pp. 743 - 751
Main Authors:	Tung, Yi-Shiuan, Luebbers, Matthew B., Roncone, Alessandro, Hayes, Bradley
Format:	Conference Proceeding
Language:	English
Published:	ACM 11.03.2024
Subjects:	Accuracy Adaptation models augmented reality Collaboration environment adaptation human-robot collaboration legibility motion prediction Prediction algorithms Predictive models Robot kinematics Uncertainty
Online Access:	Get full text
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