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Market-based approach to Multi-robot Task Allocation

Ahmed Hussein, Alaa Khamis

发表年份
2013
引用次数
38

摘要

This paper presents a market-based approach used for solving the Multi-robot Task Allocation (MRTA) problem that arises in the context of Multi-robot Systems (MRS). The proposed approach is used to find the best allocation of a number of heterogeneous robots to a number of heterogeneous tasks. The approach was extensively tested over a number of test scenarios in order to test its capability of handling complex constrained MRS applications that included extended number of tasks and robots. Finally a comparative study is implemented between the proposed market-based approach and two optimization-based approaches, the results show that the optimization-based approaches outperformed the market-based approach in terms of best allocation and computational time, however, in terms of capabilities matching the difference between both algorithms is very minimal.

关键词

RobotComputer scienceTask (project management)Matching (statistics)Context (archaeology)Mathematical optimizationArtificial intelligenceEngineeringMathematics

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