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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Vydané v:	2024 19th ACM/IEEE International Conference on Human-Robot Interaction (HRI) s. 743 - 751
Hlavní autori:	Tung, Yi-Shiuan, Luebbers, Matthew B., Roncone, Alessandro, Hayes, Bradley
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 11.03.2024
Predmet:	Accuracy Adaptation models augmented reality Collaboration environment adaptation human-robot collaboration legibility motion prediction Prediction algorithms Predictive models Robot kinematics Uncertainty
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