首页> 外文会议>Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on >Physiologically Inspired Robot Control: A Challenge to Bernstein’s Degrees-of-Freedom Problem
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Physiologically Inspired Robot Control: A Challenge to Bernstein’s Degrees-of-Freedom Problem

机译:受到生理启发的机器人控制:对伯恩斯坦自由度问题的挑战

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This paper explores what are the fundamentals of physiologically inspired robot control through investigating two interesting but difficult problems of robot control: 1) robotic hand-writing and 2) human-like multi-joints reaching with surplus DOFs (Degrees-of-Freedom). Noteworthy characteristics in control of these systems are a) redundancy in DOF, b) dexterity in execution of a target task, and c) indispensability of sensory motor coordination, though d) their dynamics are nonlinear and governed by geometric constraints in the former system. Due to these inherent characteristics, both the conventional control-theoretic approaches originated from the linear system theory and Lyapunov’s direct method are likely to fail. By gaining physical insights into these nonlinear dynamics with redundancy in DOFs and physical descriptions of target tasks, this article claims that a symbiosis of “robotics” and “neuro-physiology” is quite effective in finding a simpler sensory-motor coordination principle in each case that leads to accomplishment of each imposed task regardless of annoying characteristics of its motion dynamics with nonlinearity and DOF-redundancy.
机译:本文通过研究两个有趣但棘手的机器人控制问题,探讨了受到生理启发的机器人控制的基础知识:1)机器人手写操作; 2)类人多关节达到了多余的自由度(自由度)。这些系统的控制中值得注意的特征是:a)自由度冗余,b)执行目标任务时的敏捷性,以及c)感觉运动协调必不可少,尽管d)它们的动力学是非线性的并且受前一系统中的几何约束控制。由于这些固有的特性,源自线性系统理论的传统控制理论方法和Lyapunov的直接方法都可能会失败。通过在自由度和目标任务的物理描述中获得对这些非线性动力学的物理见解和冗余,本文认为“机器人”和“神经生理学”的共生在每种情况下寻找更简单的感觉-运动协调原理方面都非常有效。不管具有非线性和自由度冗余的运动动力学的烦人特性如何,都可以完成每项强加的任务。

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