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Generation of Natural Motions for Redundant Multi-jointSystems: A Differential- Geometric Approach Based upon the Principle of Least Actions

机译:冗余多关节系统自然运动的产生:基于最小动作原理的微分几何方法

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This article challenges Bernstein's problem of redundant degrees of freedom (DOF) that remains unsolved from both the standpoints of physiology and robotics. A rather simpler but difficult control problem of movements of human-like multi-joint reaching with excess DOF is analyzed from Newtonian mechanics and differential geometry. It is shown that, regardless of ill-posedness of inverse kinematics for such a redundant system, a simpler control signal composed of a well-tuned (synergistic) combination of task-space position feedback (corresponding to spring-like forces) and joint velocity feedback (viscous-like forces) leads to a skilled motion of reaching in a natural way without solving inverse kinematics or dynamics. Fundamental characteristics of human skilled multi-joint movements such as (1) generation of a quasi-straight line trajectory of the endpoint and (2) a little "variability" in task space but notable "variability" in joint space are analyzed from the concepts of "stability on an EP (equilibrium-point) manifold" and "transferability to an EP submanifold." It is claimed that the control signal exerts torques on joints of the whole arm just like a single virtual-spring drawing the endpoint of the arm to the target while giving a specified viscosity to each joint. This leads to an interpretation that skilled reaching movements emerge through formation of a set of neuro-motor signals exerting relevant group of muscles to generate a total potential energy equivalent to that of the spring. Discussions are presented on how such control signals in case of human reaching can be generated in a feedforward manner with capability of anticipatory adjustments of Stiffness.
机译:本文对伯恩斯坦的冗余自由度(DOF)问题提出了挑战,从生理学和机器人学的角度来看,冗余自由度仍然无法解决。从牛顿力学和微分几何学角度分析了一个类似的简单但困难的控制问题,即类似人的多关节到达自由度过大的运动。结果表明,对于这种冗余系统,无论逆运动学的不适性如何,更简单的控制信号都是由任务空间位置反馈(对应于弹簧力)和关节速度的协调良好(协同)组合而成的反馈(类似粘滞力)会导致熟练地以自然方式到达运动,而无需解决反向运动学或动力学问题。从概念上分析了人类熟练的多关节运动的基本特征,例如(1)端点的准直线轨迹的生成和(2)任务空间中的“可变性”但关节空间中的显着“可变性” “在EP(平衡点)歧管上的稳定性”和“到EP子歧管的可转移性”的含义。要求控制信号在整个手臂的关节上施加扭矩,就像单个虚拟弹簧将手臂的端点拉向目标,同时为每个关节赋予特定的粘度一样。这导致一种解释,即熟练的到达运动是通过形成一组施加相关肌肉群的神经运动信号来产生的,从而产生与弹簧相等的总势能。讨论了在人到达的情况下如何以前馈方式生成具有预期的刚度调节能力的控制信号。

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