Technical report
Adaptive and scalable methods for robot safety
The thesis connects changing task objectives and dynamics with scalable safety-constrained control. Its abstract discusses contextual demonstrations, online safety-certificate adaptation and high-dimensional reachability analysis. The repository API verifies the thesis record and version; the mathematical assumptions, complete experiments and deployment guarantees require full-text review.
Reviewed 2026-11-05 · Source and bibliography checked
- Original title
- Rethinking Robot Safety: Adaptive and Scalable Methods for Real-World Autonomy
- Publisher
- Carnegie Mellon University
- Authors
- Rui Chen
- DOI
- 10.1184/r1/32984645.v1
- Publication date
- 2026-07-29
- Source language
- en
- Edition
- 1
- Access
- Public bibliography and abstract
- Publication status
- Thesis
Source overview
The thesis connects changing task objectives and dynamics with scalable safety-constrained control. Its abstract discusses contextual demonstrations, online safety-certificate adaptation and high-dimensional reachability analysis. The repository API verifies the thesis record and version; the mathematical assumptions, complete experiments and deployment guarantees require full-text review.
Use and review
Source checking covers catalogue metadata and available public abstract or description. Full-text methods and references were not reviewed, and software was not executed. This summary does not establish conformity or product safety.
Sources & editions
Rethinking Robot Safety: Adaptive and Scalable Methods for Real-World Autonomy ↗
Carnegie Mellon University · 1
CMU KiltHub landing returned HTTP202 with zero bytes; public Figshare repository API article32984645 and version1 returned matching title, DOI10.1184/R1/32984645.v1, abstract and published_date2026-07-29. No thesis PDF reviewed.