On mixed-initiative planning and control for Autonomous underwater vehicles
- Submitting institution
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The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 47
- Type
- E - Conference contribution
- DOI
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10.1109/IROS.2015.7353594
- Title of conference / published proceedings
- IROS Hamburg 2015 - Conference Digest: IEEE/RSJ International Conference on Intelligent Robots and Systems
- First page
- 1685
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- December
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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- Request cross-referral to
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- 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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5
- Research group(s)
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-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This IROS publication is an output of Chrpa’s collaboration with the marine robotics laboratory at LSTS, University of Porto, during his study visit to LSTS in 2014. Chrpa introduced the idea of using domain-independent planners to solve tasks for Autonomous Underwater Vehicles, contributing to Pinto’s PhD thesis (see acknowledgments in file:///Users/lee/Desktop/189281.pdf), and leading to follow-up research at LSTS (https://link.springer.com/article/10.1007/s10514-018-9810-x) and at Heriot Watt University (e.g. https://ieeexplore.ieee.org/abstract/document/8791684). The paper led to Chrpa’s future work in fusing Planning with the T-REX agent, aimed at providing longer-term autonomy for the Autonaut vehicle operating on the ocean surface e.g. see
https://robots-wild-rss.github.io/rss2019-workshop/paper/Long-duration%20Autonomy%20for%20Open%20Ocean%20Exploration:%20Preliminary%20Results%20&%20Challenges.pdf"
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -