A Novel Variable Stiffness Soft Robotic Gripper

October 22, 2020 Β· Declared Dead Β· πŸ› 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)

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Authors Dimuthu D. Arachchige, Yue Chen, Ian D. Walker, Isuru S. Godage arXiv ID 2010.11473 Category cs.RO: Robotics Citations 22 Venue 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) Last Checked 4 months ago
Abstract
We propose a novel tri-fingered soft robotic gripper with decoupled stiffness and shape control capability for performing adaptive grasping with minimum system complexity. The proposed soft fingers adaptively conform to object shapes facilitating the handling of objects of different types, shapes, and sizes. Each soft gripper finger has an inextensible articulable backbone and is actuated by pneumatic muscles. We derive a kinematic model of the gripper and use an empirical approach to map input pressures to stiffness and bending deformation of fingers. We use these mappings to achieve decoupled stiffness and shape control. We conduct tests to quantify the ability to hold objects as the gripper changes orientation, the ability to maintain the grasping status as the gripper moves, and the amount of force required to release the object from the gripped fingers, respectively. The results validate the proposed gripper's performance and show how stiffness control can improve the grasping quality.
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