Reconfigurable Underactuated Adaptive Gripper Designed by Morphological Computation *

I. Borisov, Evgenii E. Khornutov, D.V. Ivolga, N.A. Molchanov, I.A. Maksimov, S. Kolyubin
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引用次数: 2

Abstract

Anthropomorphic robotic grippers are required for robots, prostheses, and orthosis to enable manipulation of a priori unknown and variable-shape objects. It has to meet a wide range of sometimes contradictory requirements in terms of adaptivity, dexterity, high payload to weight ratio, robustness, aesthetics, compactness, lightweight, etc. Within this paper, we utilize the morphological computation approach to introduce design for anthropomorphic re-configurable underactuated grippers. The key to fingers' adaptivity is embedded passive variable length links and elastic elements at input joints. Based on this concept, we designed a palm-size five-finger gripper, where 14 DoFs, including thumb, are controlled by just 4 motors, such that it can perform both precision pinch and encompassing power grasps of various objects. The paper describes synthesized linkages for digits, hand design overview, control strategy, and test results of a physical prototype.
基于形态计算的可重构欠驱动自适应夹持器设计*
拟人化机器人夹具是机器人、假肢和矫形器所必需的,以便能够操纵先验的未知和可变形状的物体。它必须在适应性、灵活性、高载荷重量比、鲁棒性、美观性、紧凑性、轻量化等方面满足各种有时相互矛盾的要求。在本文中,我们利用形态计算方法来介绍拟人可重构欠驱动夹持器的设计。手指自适应的关键是在输入关节处嵌入被动变长连杆和弹性元件。基于这个概念,我们设计了一个手掌大小的五指抓手,其中包括拇指在内的14个DoFs由4个电机控制,这样它就可以完成精确的夹紧和对各种物体的全方位抓取。本文介绍了数字综合机构的设计概况、控制策略和物理样机的测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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