Research paper
Probabilistic barrier certificates under robot sensing and motion uncertainty
The work formulates robot collision constraints with measurement and motion uncertainty and evaluates the approach in simulation. It provides a reference for examining how uncertainty assumptions enter a safety argument.
Reviewed 2026-11-04 · Source and bibliography checked
- Original title
- Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
- Publisher
- arXiv
- Authors
- Wenhao Luo, Wen Sun, Ashish Kapoor
- DOI
- 10.48550/arXiv.1912.09957
- Publication date
- 2019-12-20
- Source language
- en
- Source country
- US
- Edition
- arXiv:1912.09957v3; NeurIPS2020 manuscript
- Access
- open_archive_metadata_and_manuscript
- Publication status
- conference_manuscript
Source overview
The work formulates robot collision constraints with measurement and motion uncertainty and evaluates the approach in simulation. It provides a reference for examining how uncertainty assumptions enter a safety argument.
Use and review
The archive identifies a NeurIPS 2020 manuscript, while the displayed date is its first 2019 posting. The reported evaluation is simulation-based, and deployment evidence must address the actual uncertainty and controller implementation.
Sources & editions
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates ↗
arXiv · arXiv:1912.09957v3; NeurIPS2020 manuscript
arXiv abstract and submission history, v3 dated 2020-12-07; comments identify NeurIPS2020. Official proceedings record also checked.