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On Motion and Force Control of Grasping Hands with Postural Synergies

机译:论姿势协同作用抓握手的运动与力控制

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The complexity of robotic hands is needed to adapt devices to the many kinds of tasks, but the large number of motors needed to fully actuate the DoFs comes at the cost of size, complexity and weight of devices. A possible approach to solve this problem consists of reducing the number of actuators thus resulting more efficient, simpler and reliable than their fully actuated alternatives. Reducing control inputs seems to inspire also biological systems and in particular motor control of human hands, which share with robotic hands the large number of DoFs. Recent studies demonstrated that a few control variables, named postural synergies, are able to account for most of the variance in the patterns of hand movements and configurations of hands. This paper focuses on hands with postural synergies. Reducing the number of control inputs, from fully actuated joints to few synergies, might reduce the dimension of the force and motion controllability subspaces thus compromising the dexterity of the grasp, however, this is not true in general but strongly depends on how synergies are distributed. The paper investigates to what extent a hand with many DoFs can exploit postural synergies to control force and motion of the grasped object.
机译:机器人双手的复杂性需要使设备适应多种任务,但是需要充分致动的大量电动机以尺寸,复杂性和设备重量的成本。解决这个问题的可能方法包括减少致动器的数量,从而导致比其完全致动的替代方案更有效,更简单,更可靠。减少控制投入似乎激发了生物系统,特别是人类手的电机控制,其中与机器人手中的大量自由度分享。最近的研究表明,一些命名的姿势协同效应的控制变量能够考虑手动运动模式和手的配置的大部分方差。本文侧重于姿势协同作用。从完全致动的关节到很少的协同作用来减少控制输入的数量可能会降低力量和运动可控性的尺寸,这些子空间损失了掌握的灵敏度,但是,这通常不是真的,但强烈取决于如何分配协同效应方式。本文调查了许多DOF的手的程度可以利用姿势协同作用来控制掌握物体的力和运动。

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