| Journal: | Computación y sistemas |
| Database: | |
| System number: | 000560620 |
| ISSN: | 1405-5546 |
| Authors: | Ponce, Hiram1 Martínez Villaseñor, Lourdes1 Mayorga Acosta, Carlos1 |
| Institutions: | 1Universidad Panamericana, Facultad de Ingeniería, Ciudad de México. México |
| Year: | 2021 |
| Season: | Oct-Dic |
| Volumen: | 25 |
| Number: | 4 |
| Pages: | 835-842 |
| Country: | México |
| Language: | Inglés |
| English 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. |
| Keyword: | Soft robotics, Grippers, Artificial intelligence, Mechanical engineering, CAD model |
| Full text: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
