Aoi Shinya, Manoonpong Poramate, Ambe Yuichi, Matsuno Fumitoshi, Wörgötter Florentin
Department of Aeronautics and Astronautics, Graduate School of Engineering, Kyoto UniversityKyoto, Japan.
Embodied AI & Neurorobotics Lab, Centre for Biorobotics, Mærsk Mc-Kinney Møller Institute, University of Southern DenmarkOdense, Denmark.
Front Neurorobot. 2017 Aug 23;11:39. doi: 10.3389/fnbot.2017.00039. eCollection 2017.
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.
行走的动物在运动过程中会根据自身情况产生适应性的肢体间协调。肢体间协调是通过神经系统、肌肉骨骼系统和环境之间的动态相互作用产生的,尽管其潜在机制尚不清楚。最近,对生物适应机制的研究引起了关注,基于关于感觉运动相互作用的神经生理学发现的仿生控制系统正在为有腿机器人开发。在这篇综述中,我们介绍了由各种因素(运动速度、环境情况、身体特性和任务)引起的有腿机器人的适应性肢体间协调。此外,我们展示了适应性肢体间协调的特征特性,如步态滞后和不同时间尺度的适应。我们还讨论了实现适应性肢体间协调的潜在机制和控制策略以及有腿机器人控制系统的设计原则。