共形矩阵
量子纠缠
计算机科学
拓扑(电路)
对象(语法)
分布式计算
理论计算机科学
人工智能
作者
Becker, Kaitlyn,Teeple, Clark,Charles, Nicholas,Jung, Yeonsu,Baum, Daniel,Weaver, James C.,Mahadevan, L.,Wood, Robert
出处
期刊:Cornell University - arXiv
日期:2022-02-01
标识
DOI:10.48550/arxiv.2202.00761
摘要
Grasping, in both biological and engineered mechanisms, can be highly sensitive to the gripper and object morphology, as well as perception, and motion planning. Here we circumvent the need for feedback or precise planning by using an array of fluidically-actuated slender hollow elastomeric filaments to actively entangle with objects that vary in geometric and topological complexity. The resulting stochastic interactions enable a unique soft and conformable grasping strategy across a range of target objects that vary in size, weight, and shape. We experimentally evaluate the grasping performance of our strategy, and use a computational framework for the collective mechanics of flexible filaments in contact with complex objects to explain our findings. Overall, our study highlights how active collective entanglement of a filament array via an uncontrolled, spatially distributed scheme provides new options for soft, adaptable grasping.
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