Integrating Mission and Task Planning in an Industrial Robotics Framework
- Submitting institution
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Heriot-Watt University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 15432070
- Type
- E - Conference contribution
- DOI
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- Title of conference / published proceedings
- Proceedings of the 27th International Conference on Automated Planning and Scheduling
- First page
- 471
- Volume
- -
- Issue
- -
- ISSN
- 2334-0835
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- URL
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- 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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3
- Research group(s)
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-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Planning, search, control and distributed AI: This paper presents a new approach to automated mission and task planning in an industrial robotics context. It provides technical details of the first decomposition-based approach to multi-robot fleet planning in a real factory environment. The planner developed for this work was also one of the winners of the CoDMAP planning competition which was described in AI Magazine (https://www.aaai.org/ojs/index.php/aimagazine/article/view/2658/2582). This work was part of the EU-funded STAMINA project (Grant no. 610917) which included PSA Peugeot Citroen and BA Systemes as industrial partners. This paper was published in the top international automated planning conference.
- Author contribution statement
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- Non-English
- No
- English abstract
- -
