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Optimization techniques for Multi-Robot Task Allocation problems: Review on the state-of-the-art.
- Source :
-
Robotics & Autonomous Systems . Oct2023, Vol. 168, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- In the last years, Multi-Robot Systems (MRS) have experienced considerable recognition due to various possible real-world applications. Multi-Robot Task Allocation (MRTA) is among the most interesting MRS problems. This problem concerns the situation when a set of given tasks must be performed by a team of mobile robots with the intention of optimizing an objective function (e.g., minimizing the mission time). This paper aims to present MRTA applications and categorizes methods into market-based, behavior-based, and optimization-based approaches. The paper focus on the latter and review several works in order to point out their advantages and limitations and to identify possible future research opportunities. Furthermore, a statistical analysis is provided to identify the most used methods and the evolution of the topic over the years. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MATHEMATICAL optimization
*MOBILE robots
*STATISTICS
Subjects
Details
- Language :
- English
- ISSN :
- 09218890
- Volume :
- 168
- Database :
- Academic Search Index
- Journal :
- Robotics & Autonomous Systems
- Publication Type :
- Academic Journal
- Accession number :
- 171828671
- Full Text :
- https://doi.org/10.1016/j.robot.2023.104492