Traderbots: a new paradigm for robust and efficient multirobot coordination in dynamic environments
Traderbots: a new paradigm for robust and efficient multirobot coordination in dynamic environments
Embedded Robotics: Mobile Robot Design and Applications with Embedded Systems
Embedded Robotics: Mobile Robot Design and Applications with Embedded Systems
A Distributed Bidirectional Auction Algorithm for Multirobot Coordination
ICRCCS '09 Proceedings of the 2009 International Conference on Research Challenges in Computer Science
CoMutaR: a framework for multi-robot coordination and task allocation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Multirobot systems: a classification focused on coordination
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
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This paper focuses on the general problem of coordinating multiple robots. More specifically, it addresses the self-election of heterogeneous specialized tasks by autonomous robots, as opposed to the usual multi-tasks allocation problem in multi-robot systems in which an external controller distributes the existing tasks among the individual robots. We are rather interested on decentralized solutions in which the robots themselves, autonomously and in an individual manner, select a particular task so that all the existing tasks are optimally distributed and executed. In this regard, we establish an experimental scenario and we propose a bio-inspired solution based on threshold models to solve the corresponding multi-tasks distribution problem. The paper ends with a critical discussion of the experimental results.