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Value-Based Action Selection for Exploration and Dynamic Target Observation with Robot Teams

机译:基于价值的动态目标与机器人团队的探索和动态目标观察

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Move Value Estimation for Robot Teams (MVERT) is a robot action selection algorithm for teams performing multiple competing tasks. The goal of MVERT is to select actions for robot team members to maximize the team's joint utility toward overall mission progress in a computationally efficient manner. MVERT is fully distributed, with each robot using information about other teammates to select its action with the greatest value. MVERT selects actions for a robot team to perform multi-task exploration and dynamic target observation. Successful action selection is demonstrated in simulation for exploration and in simulation and on robots for dynamic target observation.
机译:机器人团队的移动价值估计(MVERT)是一种用于执行多个竞争任务的团队的机器人动作选择算法。幻想的目标是为机器人团队成员选择行动,以通过计算有效的方式使团队的联合效用能够实现整体任务进度。频道完全分发,每个机器人都使用其他队友的信息,以最大的价值选择其动作。 MVERT选择机器人团队的操作以执行多项任务探索和动态目标观察。在探索和模拟和机器人的仿真中证明了成功的动作选择,以及动态目标观察的机器人。

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