Improving Energy Efficiency in Cooperative Foraging Swarm Robots Using Behavioral Model

Jong-Hyun Lee, C. Ahn
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引用次数: 17

Abstract

Multi-robot foraging systems can assist human beings to collect crops or minerals, efficiently. As being wider searching spaces, the robot control system demands scalability and reliability. For handling this limitation, in particular, swarm robotics has been considered due to its strengths such as self-organization, robustness and flexibility. However, it stipulates high initial, operating cost as employing the multi-robot foraging system. To address these drawbacks, this paper presents a novel distributed foraging mechanism. The aim is to adopt a new behavioral model regarding role division and search space division for improving energy efficiency. Simulation results demonstrate that the proposed approach outperforms an existing foraging robot system.
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利用行为模型提高协同觅食群机器人的能量效率
多机器人觅食系统可以帮助人类高效地收集庄稼或矿物。随着搜索空间的扩大,机器人控制系统对可扩展性和可靠性提出了更高的要求。为了解决这一限制,群体机器人由于其自组织、鲁棒性和灵活性等优势而被考虑。但由于采用多机器人觅食系统,初始运行成本较高。为了解决这些问题,本文提出了一种新的分布式觅食机制。目的是通过角色划分和搜索空间划分的新的行为模型来提高能源效率。仿真结果表明,该方法优于现有的觅食机器人系统。
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