Tahboub Karim A
Neurological University Clinic, Neurocenter, University of Freiburg, Breisacherstr. 64, 79106 Freiburg, Germany.
J Physiol Paris. 2009 Sep-Dec;103(3-5):195-210. doi: 10.1016/j.jphysparis.2009.08.003. Epub 2009 Aug 7.
This article presents a biologically-inspired framework for humanoid postural control. It complies with the main features of human postural control that are extracted from recent studies. In this article, the human body is abstracted as a single-inverted pendulum jointed with a foot that rests freely on a supporting surface. In particular, disturbances affecting posture are addressed and accommodated within the proposed framework. Among these are external forces and motion of support surface on which the body stands. The main components of this framework are: 1. A state-feedback mechanism for stabilizing the unstable dynamics of the body. 2. A tracking loop for robustly achieving desired voluntary orientations. 3. A feed-forward control primarily for improving the response to voluntary motions. 4. A stand-alone vestibular sensory fusion algorithm for estimating body orientation. 5. An external-disturbance estimator and a corresponding compensation for minimizing the effect of external disturbances. These components are interconnected in a way that qualifies this framework to modularly address the multi-segment body postural control problem. Although no postural stability measure is explicitly incorporated, experiments run on a special-purpose humanoid demonstrate the stability and the performance merits of the presented framework.
本文提出了一种受生物启发的仿人姿势控制框架。它符合从近期研究中提取的人体姿势控制的主要特征。在本文中,人体被抽象为一个单倒立摆,与一只自由放置在支撑面上的脚相连。特别地,在所提出的框架内对影响姿势的干扰进行了处理和调节。其中包括作用在身体所站立的支撑面上的外力和支撑面的运动。该框架的主要组成部分有:1. 一种用于稳定身体不稳定动力学的状态反馈机制。2. 一个用于稳健地实现期望的自主定向的跟踪回路。3. 一种主要用于改善对自主运动响应的前馈控制。4. 一种用于估计身体定向的独立前庭感觉融合算法。5. 一个外部干扰估计器以及相应的补偿,用于最小化外部干扰的影响。这些组件以一种使该框架能够模块化地解决多节段身体姿势控制问题的方式相互连接。尽管没有明确纳入姿势稳定性度量,但在一个专用仿人机器人上进行的实验证明了所提出框架的稳定性和性能优点。