离合器
刚度
计算机科学
电压
机器人
机械工程
控制理论(社会学)
结构工程
工程类
控制(管理)
电气工程
人工智能
作者
David J. Levine,Gokulanand M. Iyer,R. Daelan Roosa,Kevin T. Turner,James H. Pikul
出处
期刊:Science robotics
[American Association for the Advancement of Science]
日期:2022-11-30
卷期号:7 (72): eabo2179-eabo2179
被引量:49
标识
DOI:10.1126/scirobotics.abo2179
摘要
Materials with electroprogrammable stiffness and adhesion can enhance the performance of robotic systems, but achieving large changes in stiffness and adhesive forces in real time is an ongoing challenge. Electroadhesive clutches can rapidly adhere high stiffness elements, although their low force capacities and high activation voltages have limited their applications. A major challenge in realizing stronger electroadhesive clutches is that current parallel plate models poorly predict clutch force capacity and cannot be used to design better devices. Here, we use a fracture mechanics framework to understand the relationship between clutch design and force capacity. We demonstrate and verify a mechanics-based model that predicts clutch performance across multiple geometries and applied voltages. On the basis of this approach, we build a clutch with 63 times the force capacity per unit electrostatic force of state-of-the-art electroadhesive clutches. Last, we demonstrate the ability of our electroadhesives to increase the load capacity of a soft, pneumatic finger by a factor of 27 times compared with a finger without an electroadhesive.
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