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A material point-based simulation method for soft robots with free boundary interactions

Published online by Cambridge University Press:  13 December 2024

Siwei He ,
Jie Shen ,
Beijia Zhang ,
Faizan Ahmad ,
Hao Deng ,
Xiaohui Li ,
Jing Xiong Open the ORCID record for Jing Xiong [Opens in a new window]  and
Zeyang Xia Open the ORCID record for Zeyang Xia [Opens in a new window]
Siwei He
Affiliation:
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Jie Shen
Affiliation:
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
Beijia Zhang
Affiliation:
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
Faizan Ahmad
Affiliation:
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Hao Deng
Affiliation:
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Xiaohui Li
Affiliation:
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Jing Xiong*
Affiliation:
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Zeyang Xia
Affiliation:
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
*
Corresponding author: Jing Xiong; Email: [email protected]
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Abstract

Soft robots show an advantage when conducting tasks in complex environments due to their enormous flexibility and adaptability. However, soft robots suffer interactions and nonlinear deformation when interacting with soft and fluid materials. The reason behind is the free boundary interactions, which refers to undetermined contact between soft materials, specifically containing nonlinear deformation in air and nonlinear interactions in fluid for soft robot simulation. Therefore, we propose a new approach using material point method (MPM), which can solve the free boundary interactions problem, to simulate soft robots under such environments. The proposed approach can autonomously predict the flexible and versatile behaviors of soft robots. Our approach entails incorporating automatic differentiation into the algorithm of MPM to simplify the computation and implement an efficient implicit time integration algorithm. We perform two groups of experiments with an ordinary pneumatic soft finger in different free boundary interactions. The results indicate that it is possible to simulate soft robots with nonlinear interactions and deformation, and such environmental effects on soft robots can be restored.

Keywords

sensor or actuator designsoft robotmaterial point methodfree boundary interactiondeformation
Type
Research Article
Information
Robotica , First View , pp. 1 - 14
Copyright
© The Author(s), 2024. Published by Cambridge University Press

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