Research paper
Motion Prediction with Gaussian Processes for Safe Human-Robot Interaction in Virtual Environments
Gaussian-process prediction combines hand motion and gaze to anticipate interaction with a cobot used as a haptic interface. The study compares task-time and safety-related metrics in a virtual-environment application. Reported relative improvements depend on those metrics and do not establish general collision protection.
Reviewed 2026-11-05 · Source and bibliography checked
- Original title
- Motion Prediction with Gaussian Processes for Safe Human-Robot Interaction in Virtual Environments
- Publisher
- arXiv
- Authors
- Mugisha, Stanley, Guda, Vamsi Krishna, Chevallereau, Christine, Chablat, Damien, Zoppi, Matteo
- DOI
- 10.48550/arxiv.2405.09109
- First archive posting
- 2024-05-15
- Source language
- en
- Source country
- US
- Edition
- v2
- Access
- Open archive metadata and manuscript
- Publication status
- Archive manuscript · linked publication metadata
Related resources and engineering notes
Source overview
Gaussian-process prediction combines hand motion and gaze to anticipate interaction with a cobot used as a haptic interface. The study compares task-time and safety-related metrics in a virtual-environment application. Reported relative improvements depend on those metrics and do not establish general collision protection.
Use and review
Original summary of the primary archive abstract and bibliographic record. Specialist technical and native-language review remain pending. The reported method does not establish a deployed safety function or achieved PL.
Sources & editions
Motion Prediction with Gaussian Processes for Safe Human-Robot Interaction in Virtual Environments ↗
arXiv · v2
arXiv abstract, authors, submission history and DOI links; first posting 2024-05-15, abstract reviewed in v2. Publisher dates are separate.