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Computación y Sistemas
versión On-line ISSN 2007-9737versión impresa ISSN 1405-5546
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.