Design of a Soft Gripper Using Genetic Algorithms

Authors

  • Hiram Ponce Universidad Panamericana
  • Lourdes Martínez-Villaseñor
  • Carlos Mayorga-Acosta

DOI:

https://doi.org/10.13053/cys-25-4-4095

Keywords:

Soft robotics, grippers, artificial intelligence, mechanical engineering, CAD model

Abstract

In this paper, we present an artificial intelligence-assisted design of a soft robotic gripper. First, we formulate the design of the soft gripper as an optimization problem. Then, we design and configure a genetic algorithm (GA) method to solve the problem under design constraints. Lastly, we implement the whole system in co-simulation between the GA and a computer-aided design software that evaluates the candidate solutions using finite element analysis. A network-attached storage server connecting multiple nodes runs the GA method in parallel, to accelerate the process. After experimentation, we present simulation results to validate our approach.

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Published

2021-12-02

Issue

Vol. 25 No. 4 (2021): 25(4) 2021: Thematic Issue on Artificial Intelligence for Industry 4.0 (Guest Editors: O. Vergara et al.)

Section

Articles

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