Autonomous Target Search with Multiple Coordinated UAVs
- Submitting institution
-
Royal Holloway and Bedford New College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 34017819
- Type
- D - Journal article
- DOI
-
10.1613/jair.1.11635
- Title of journal
- Journal of Artificial Intelligence Research
- Article number
- -
- First page
- 519
- Volume
- 65
- Issue
- -
- ISSN
- 1076-9757
- 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
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is published in JAIR, which is one of the leading journals in AI. It is an interdisciplinary work that compares methods developed in different areas of combinatorial optimisation, from greedy search to planning to constraint programming. The paper is the result of a long-term collaboration with the University of Toronto, which is the top university in Canada according to the Times Higher Education’s World University Rankings data.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -