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Combining Task and ...
Combining Task and Motion Planning : Challenges and Guidelines
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- Mansouri, Masoumeh, 1985- (author)
- Intelligent Robotics Lab, School of Computer Science, University of Birmingham, Birmingham, United Kingdom
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- Pecora, Federico, 1977- (author)
- Örebro universitet,Institutionen för naturvetenskap och teknik,AASS
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- Schüller, Peter (author)
- Knowledge-Based Systems Group, TU Wien, Vienna, Austria
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(creator_code:org_t)
- 2021-05-19
- 2021
- English.
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In: Frontiers in Robotics and AI. - : Frontiers Media S.A.. - 2296-9144. ; 8
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https://doi.org/10.3...
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Abstract
Subject headings
Close
- Combined Task and Motion Planning (TAMP) is an area where no one-fits-all solution can exist. Many aspects of the domain, as well as operational requirements, have an effect on how algorithms and representations are designed. Frequently, trade-offs have to be madet o build a system that is effective. We propose five research questions that we believe need to be answered to solve real-world problems that involve combined TAMP. We show which decisions and trade-offs should be made with respect to these research questions, and illustrate these on examples of existing application domains. By doing so, this article aims to provide a guideline for designing combined TAMP solutions that are adequate and effective in the target scenario.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Task and motion planning
- integrative AI
- knowledge representation
- automated reasoning
- industrial applications of robotics
Publication and Content Type
- ref (subject category)
- art (subject category)
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