Research paper
Depth-sensor fusion for mobile-manipulator obstacle tracking
This paper combines heterogeneous depth sensors mounted on a mobile manipulator to track nearby obstacles. Its abstract also describes extrinsic calibration using the manipulator itself as a target and reports real-time experimental tracking. These perception results are relevant to shared-workspace monitoring, while protective-system integrity and worst-case detection coverage remain separate questions.
Reviewed 2026-11-05 · Source and bibliography checked
- Original title
- Multi-sensor obstacle tracking for safe human-robot interaction
- Publisher
- Fraunhofer-Gesellschaft
- Authors
- Frese, Christian, Fetzner, Angelika, Frey, Christian
- DOI
- 10.24406/publica-fhg-384682
- Publication date
- 2014
- Source language
- en
- Access
- Public bibliography and abstract
- Publication status
- Published
Source overview
This paper combines heterogeneous depth sensors mounted on a mobile manipulator to track nearby obstacles. Its abstract also describes extrinsic calibration using the manipulator itself as a target and reports real-time experimental tracking. These perception results are relevant to shared-workspace monitoring, while protective-system integrity and worst-case detection coverage remain separate questions.
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
Multi-sensor obstacle tracking for safe human-robot interaction ↗
Fraunhofer-Gesellschaft · Source page checked 2026-11-05
Primary landing-page metadata and public abstract/description, plus DataCite registration and version relations; attached files were not downloaded or fully reviewed.