Fault detection in a swarm of physical robots based on behavioral outlier detection
- Submitting institution
-
University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54278080
- Type
- D - Journal article
- DOI
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10.1109/TRO.2019.2929015
- Title of journal
- IEEE Transactions on Robotics
- Article number
- -
- First page
- 1516
- Volume
- 35
- Issue
- 6
- ISSN
- 1941-0468
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper published in the top robotics journal is the culmination of years of research in formulating, developing and improving generic fault-detection models for large-scale robot swarms (DOI: 10.1088/1748-3190/10/1/016014, 10.1371/journal.pone.0182058, 10.3389/frobt.2018.00131), finally allowing us to transition from simulations to real robot swarms to successfully demonstrate fault detection.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -