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Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review

机译:腿式机器人的肢体协调的自适应控制策略:综述。

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摘要

Walking animals produce adaptive interlimb coordination during locomotion in accordance with their situation. Interlimb coordination is generated through the dynamic interactions of the neural system, the musculoskeletal system, and the environment, although the underlying mechanisms remain unclear. Recently, investigations of the adaptation mechanisms of living beings have attracted attention, and bio-inspired control systems based on neurophysiological findings regarding sensorimotor interactions are being developed for legged robots. In this review, we introduce adaptive interlimb coordination for legged robots induced by various factors (locomotion speed, environmental situation, body properties, and task). In addition, we show characteristic properties of adaptive interlimb coordination, such as gait hysteresis and different time-scale adaptations. We also discuss the underlying mechanisms and control strategies to achieve adaptive interlimb coordination and the design principle for the control system of legged robots.
机译:行走的动物会根据其情况在运动过程中产生自适应的肢体协调。虽然神经机制,肌肉骨骼系统和环境之间的动态交互作用产生了跨界协调,但其潜在机制仍不清楚。最近,对生物适应机制的研究引起了人们的注意,基于腿部机器人的基于神经生理学发现的有关感觉运动相互作用的生物启发控制系统正在开发中。在这篇综述中,我们介绍了由多种因素(运动速度,环境状况,身体特性和任务)引起的有腿机器人的自适应中间协调。此外,我们展示了自适应跨界协调的特征,如步态滞后和不同的时标适应。我们还讨论了实现自适应交错协调的基本机制和控制策略,以及有腿机器人控制系统的设计原理。

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