A differential game approach to multi-agent collision avoidance
- Submitting institution
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Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 239
- Type
- D - Journal article
- DOI
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10.1109/TAC.2017.2680602
- Title of journal
- IEEE Transactions on Automatic Control
- Article number
- -
- First page
- 4229
- Volume
- 62
- Issue
- 8
- ISSN
- 0018-9286
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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10.1109/TAC.2017.2680602
- 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
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2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research has resulted in a systematic procedure for autonomous coordination of “agents”. The procedure yields, differently from pre-existing methods, guarantees in terms of both collision avoidance and convergence, which are of high relevance in applications to robotics. It also contributed to: 1) an invited seminar by Dr Mylvaganam for Schlumberger’s international technology exchange network “Eureka”; 2) two Best Presentation in Session awards at the IEEE American Control Conference; 3) seed funding for a new collaboration (which has already resulted in a joint publication) with Prof. Pettersen (NTNU, Norway)–a world leader in design and control of snake-like robots.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -