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Minimum Position Based on Robot’s Energy Consumption: A New Algorithm for Coordinated Multi-Robot Exploration

机译:基于机器人能耗的最小位置:协调多机器人探索的新算法

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This paper addresses the multi-robot exploration problem in unknown environments. The proposed method aims to minimize the exploration time considering the robot’s limited energy. The target area is defined as a frontier which represents the limit between an unknown and explored part of the environment. Thus, each robot from the team is assigned to the frontier for which it has the lowest rank among the other robots in term of energy consumption. An implementation and tests in computerized simulation as well as a comparison with some existing approaches has been performed. The results obtained demonstrate the validity and the efficiency of our method.
机译:本文讨论了未知环境中的多机器人探索问题。所提出的方法旨在最大限度地减少考虑机器人有限的能量的勘探时间。目标区域被定义为边界,该前沿表示环境未知和探索的部分之间的极限。因此,来自团队的每个机器人被分配给前沿,其中在能量消耗期间具有其它机器人中最低等级的前沿。计算机化模拟的实施和测试以及与一些现有方法的比较。获得的结果证明了我们方法的有效性和效率。

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