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Distributed Watchpoints: Debugging Large Multi-Robot Systems

机译:分布式观察点:调试大型多机器人系统

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Tightly-coupled multi-agent systems such as modular robots frequently exhibit properties of interest that span multiple modules. These properties cannot easily be detected from any single module, though they might readily be detected by combining the knowledge of multiple modules. Testing for distributed conditions is especially important in debugging or verifying the correctness of software for modular robots. We have developed a technique we call distributed watchpoint triggers which can efficiently recognize such distributed conditions. Our watchpoint description language can handle a variety of temporal, spatial, and logical properties spanning multiple robots. This paper presents that language, describes our fully-distributed, online mechanism for detecting distributed conditions in a running system, and evaluates the performance of our implementation. We found that the performance of the system is highly dependent on the program being debugged, scales linearly with ensemble size, and is small enough to make the system practical in all but the worst case scenarios
机译:紧密耦合的多主体系统(例如模块化机器人)经常表现出跨越多个模块的重要特性。尽管可以通过组合多个模块的知识来容易地检测到这些属性,但无法从任何单个模块中轻松检测到这些属性。测试分布式条件对于调试或验证模块化机器人的软件的正确性尤为重要。我们已经开发了一种称为分布式观察点触发器的技术,该技术可以有效地识别此类分布式条件。我们的观察点描述语言可以处理跨越多个机器人的各种时间,空间和逻辑属性。本文介绍了该语言,描述了我们用于在运行系统中检测分布式条件的全分布式在线机制,并评估了我们的实现性能。我们发现,系统的性能高度依赖于要调试的程序,可以按整体大小线性扩展,并且足够小,可以使系统在除最坏的情况之外的所有情况下都可以使用。

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