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Distributed Fault-Tolerant Robot Control Architecture Based on Organic Computing Principles

机译:基于有机计算原理的分布式容错机器人控制架构

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Walking animals like insects show a great repertoire of reactions and behaviours in interaction with their environment. Moreover, they are very adaptive to changes in their environment and to changes of their own body like injuries. Even after the loss of sensors like antennas or actuators like legs, insects show an amazing fault tolerance without any hint of great computational power or complex internal fault models. Our most complex robots in contrast lack the insect abilities although computational power is getting better and better. Understanding biological concepts and learning from nature could improve our approaches and help us to make our systems more "life-like" and therefore more fault tolerant. This article introduces a control architectural approach based on organic computing principles using concepts of decentralization and self-organization, which is demonstrated and tested on a six-legged robotic platform. Beside explaining the organic robot control architecture, this study presents a leg coordination architecture extension to improve the robustness and dependability towards structural body modifications like leg amputations and compares experimental results with previous studies.
机译:像昆虫一样的步行动物在与环境互动时表现出很大的反应和行为。而且,它们非常适应环境变化和自身身体变化(如伤害)。即使失去了天线之类的传感器或腿之类的致动器之后,昆虫仍然显示出惊人的容错能力,而没有任何强大的计算能力或复杂的内部故障模型的迹象。相反,尽管计算能力越来越好,但我们最复杂的机器人却缺乏昆虫的能力。了解生物学概念并向自然界学习可以改善我们的方法,并帮助我们使系统更“逼真”,因此更具容错能力。本文介绍了一种基于有机计算原理的控制架构方法,该方法使用去中心化和自组织概念,并在六足机器人平台上进行了演示和测试。除了解释有机机器人控制体系结构外,本研究还提出了腿部协调体系结构扩展,以提高对腿部截肢等结构体修改的鲁棒性和可靠性,并将实验结果与以前的研究进行了比较。

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