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Profiling Underwater Swarm Robotic Shoaling Performance Using Simulation

机译:使用模拟分析水下群群机器人鞋底性能

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Underwater exploration is important for mapping out the oceans, environmental monitoring, and search and rescue, yet water represents one of the most challenging of operational environments. The CoCoRo project proposes to address these challenges using cognitive swarm intelligent systems. We present here CoCoRoSim, an underwater swarm robotics simulation used in designing underwater swarm robotic systems. Collective coordination of robots represents principle challenge here, and use simulation in evaluating shoaling algorithm performance given the communication, localization and orientation challenges of underwater environments. We find communication to be essential for well-coordinated shoals, and provided communication is possible, inexact localization does not significantly impact performance. As a proof of concept simulation is employed in evaluating shoaling performance in turbulent waters.
机译:水下勘探对于绘制海洋,环境监测和搜救是重要的,但水代表了运营环境中最具挑战性的水平。 Cocoro项目建议使用认知群智能系统解决这些挑战。我们在这里展示了Cocorosim,一种用于设计水下群机器人系统的水下群机器人仿真。机器人的集体协调代表了本文的原则挑战,并在评估水下环境的通信,本地化和方向挑战的情况下评估挖掘算法性能的仿真。我们发现沟通至关重要,对良好协调的浅滩,并且提供的沟通是可能的,不精确的本地化不会显着影响性能。作为概念模拟的证据,用于评估湍流水中的挖掘性能。

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