Ponce, HiramHiramPonceMartinez-Villaseñor, LourdesLourdesMartinez-VillaseñorMayorga-Acosta, CarlosCarlosMayorga-Acosta2023-07-262023-07-262021https://scripta.up.edu.mx/handle/20.500.12552/437610.13053/CyS-25-4-4095In 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. © 2021 Instituto Politécnico Nacional. All rights reserved.Resource Types::text::journal::journal article