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Coalition-Based Approach to Task Allocation of Multiple Robots With Resource Constraints

机译:基于联盟的资源受限多机器人任务分配方法

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We propose a coalition-based approach to solve the task allocation problem of multiple robots with resource constraints. The resources required by task execution characterize the robots and tasks. Robots must form coalitions to accomplish the assigned tasks because individually, each robot may not complete the task independently due to resource limitation. We consider both online and offline assignment manners of the task allocation problem. For online assignment, a sequential coalition method is proposed to select efficiently the suitable robots to form coalitions for the assigned task. For offline assignment, a holistic coalition method is proposed for global optimization of all the assigned tasks. Both sequential and holistic coalition methods are compared with existing approaches. Numerous simulations and experiments performed on heterogeneous multiple mobile robots demonstrate the effectiveness of the proposed coalition-based task allocation methods.
机译:我们提出了一种基于联盟的方法来解决具有资源约束的多机器人的任务分配问题。任务执行所需的资源是机器人和任务的特征。机器人必须组成联盟来完成分配的任务,因为每个机器人由于资源限制可能无法独立完成任务。我们考虑任务分配问题的在线和离线分配方式。对于在线分配,提出了一种顺序联盟方法来有效地选择合适的机器人以形成分配任务的联盟。对于离线分配,提出了一种整体联盟方法来对所有分配的任务进行全局优化。顺序联盟和整体联盟方法都与现有方法进行了比较。在异构多个移动机器人上进行的大量仿真和实验证明了所提出的基于联盟的任务分配方法的有效性。

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