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受人类启发的本征运动概念为人形机器人提供无耦合的感觉运动控制。

Human-Inspired Eigenmovement Concept Provides Coupling-Free Sensorimotor Control in Humanoid Robot.

作者信息

Alexandrov Alexei V, Lippi Vittorio, Mergner Thomas, Frolov Alexander A, Hettich Georg, Husek Dusan

机构信息

Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of ScienceMoscow, Russia.

Department of Neurology, University Clinics of FreiburgFreiburg, Germany.

出版信息

Front Neurorobot. 2017 Apr 25;11:22. doi: 10.3389/fnbot.2017.00022. eCollection 2017.

Abstract

Control of a multi-body system in both robots and humans may face the problem of destabilizing dynamic coupling effects arising between linked body segments. The state of the art solutions in robotics are full state feedback controllers. For human hip-ankle coordination, a more parsimonious and theoretically stable alternative to the robotics solution has been suggested in terms of the Eigenmovement (EM) control. Eigenmovements are kinematic synergies designed to describe the multi DoF system, and its control, with a set of independent, and hence , scalar equations. This paper investigates whether the EM alternative shows "real-world robustness" against noisy and inaccurate sensors, mechanical non-linearities such as dead zones, and human-like feedback time delays when controlling hip-ankle movements of a balancing humanoid robot. The EM concept and the EM controller are introduced, the robot's dynamics are identified using a biomechanical approach, and robot tests are performed in a human posture control laboratory. The tests show that the EM controller provides stable control of the robot with proactive ("voluntary") movements and reactive balancing of stance during support surface tilts and translations. Although a preliminary robot-human comparison reveals similarities and differences, we conclude (i) the Eigenmovement concept is a valid candidate when different concepts of human sensorimotor control are considered, and (ii) that human-inspired robot experiments may help to decide in future the choice among the candidates and to improve the design of humanoid robots and robotic rehabilitation devices.

摘要

机器人和人类中的多体系统控制可能会面临相连身体节段之间出现的动态耦合效应失稳问题。机器人技术中的现有解决方案是全状态反馈控制器。对于人类的髋-踝协调,已根据本征运动(EM)控制提出了一种比机器人技术解决方案更简洁且理论上更稳定的替代方案。本征运动是旨在用一组独立的、因此是标量方程来描述多自由度系统及其控制的运动学协同作用。本文研究了在控制平衡类人机器人的髋-踝运动时,EM替代方案是否能针对噪声和不准确的传感器、诸如死区之类的机械非线性以及类人反馈延迟表现出“现实世界的鲁棒性”。介绍了EM概念和EM控制器,使用生物力学方法识别了机器人的动力学,并在人体姿势控制实验室中进行了机器人测试。测试表明,EM控制器能在支撑面倾斜和平移期间对机器人进行主动(“自主”)运动和姿态的反应性平衡的稳定控制。尽管初步的机器人与人类比较揭示了异同,但我们得出结论:(i)当考虑人类感觉运动控制的不同概念时,本征运动概念是一个有效的候选方案;(ii)受人类启发的机器人实验可能有助于未来在候选方案中做出选择,并改进类人机器人和机器人康复设备的设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ff4/5403929/e5a0523c618e/fnbot-11-00022-g0001.jpg

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