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Distributed Autonomous Robotic Systems
This paper studies multi-robot task allocation in settings where tasks are revealed sequentially for an infinite or indefinite time horizon, and where robots may execute bundles of tasks. The tasks are assumed to be synergistic so efficiency gains accrue from performing more tasks together. Since there is a tension between the performance cost (e.g., fuel per task) and the task completion time, a robot needs to decide when to stop collecting tasks and to begin executing its whole bundle. Thisdoi:10.1007/978-3-319-73008-0_17 dblp:conf/dars/NamS16 fatcat:tq6induhcnb4vee6klkjisgx7e