Resumen

PONCE, Hiram; MARTINEZ-VILLASENOR, Lourdes  y  MAYORGA-ACOSTA, Carlos. Design of a Soft Gripper Using Genetic Algorithms. Comp. y Sist. [online]. 2021, vol.25, n.4, pp.835-842.  Epub 28-Feb-2022. ISSN 2007-9737.  https://doi.org/10.13053/cys-25-4-4095.

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.

Palabras llave : Soft robotics; grippers; artificial intelligence; mechanical engineering; CAD model.

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