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Enabling Programmable Mechanical Functions Using Mechanical Property And Geometry Tuning Approaches

2022/10/31 by Fan Liu, Liu, Fan, Xihang Jiang +5
Engineering · Physics and Astronomy · #Advanced Materials and Mechanics #Applied Physics (physics.app-ph) #FOS: Physical sciences #Modular Robots and Swarm Intelligence #Soft Robotics and Applications #physics.app-ph

paper · pdf · doi:10.48550/arxiv.2211.00137

arxiv created 2022/10/31 · openalex publication_date 2022/10/31 · arxiv updated 2022/11/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The rapidly developing robotics industry demands structures with novel mechanical functions. Traditional approaches, developing new materials and designing new structures, face two challenges. Highly complex force-displacement functions can hardly be realized and one fabricated structure only has one or limited function. We perform theoretical calculations and FE simulations to demonstrate that the two challenges can be solved by making the mechanical property or geometry of the structure tunable. The mechanical property/geometry tuning approaches are further validated by experimental tests and the results show that multiple different and highly complex objective functions can be achieved accurately. We expect that the proposed tuning approaches will facilitate the development of advanced forms of mechanical metamaterials and a new generation of robotic hands.

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