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Negotiating and Executing Composite Tasks for QoS-Aware Teams of Robots

机译:谈判和执行QoS感知机器人团队的综合任务

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The problem of allocating tasks to a team of robots composing a complex activity with global performance constraints to be met, is NP-hard. Automated negotiation was proposed as a viable heuristic approach allowing for the dynamic adjustment of the performance levels provided by the single robots in the case of robots with limited resources. This approach leads to an improved exploitation of robots capabilities in terms of the number of composite activities that can be successfully allocated to the team. In the present work, the proposed approach is extended to include the possibility for the robots to negotiate for task allocation, and to execute the tasks in an interleaved way, so that the capabilities of the entire team can be better exploited, reducing the time the robots are inactive.
机译:将任务分配给组成复杂活动的机器人团队的问题是要满足的全局性能约束,是NP-HARD。建议自动谈判作为可行的启发式方法,允许在具有有限资源的机器人的情况下动态调整单个机器人提供的性能水平。这种方法导致在可以成功分配给团队的综合活动的数量方面改进了机器人能力的开发。在目前的工作中,拟议的方法扩展到包括机器人的可能性来协商任务分配,并以交错方式执行任务,以便可以更好地利用整个团队的功能,从而减少时间机器人处于非活动状态。

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