Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
International Journal of Robotics Research
Multiple UAV task allocation using negotiation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
IEEE Transactions on Robotics
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Distributed and efficiently allocating tasks to networked robots in dynamic environment pose challenge in both theory and application in robotics. A fundamental issue here is how to reallocate tasks during task execution. In this paper, by integrating a high-level market-based algorithm with a low-level mobile ad-hoc network communication structure, we propose a new cooperation architecture named Market-MANET (M-M) architecture, for networked robot task allocation. Additionally, an adventure mechanism is introduced into the M-M architecture to increase the success probability in accomplishing tasks. The effectiveness of the proposed architecture is verified by simulations of task transportation.