Didactic use of genetic algorithms: a model for teaching robotics
The study of articulated robots in higher education necessarily goes through the development of their kinematic models. The inverse kinematic model is usually described algebraically, although this representation is often difficult to obtain. Thus, the use of genetic algorithms in teaching robotics...
| Principais autores: | Franco de Camargo, José Tarcísio, Anunciato Franco de Camargo, Eliana, Vizconde Veraszto, Estéfano, Barreto, Gilmar, Cândido, Jorge |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universidade Tecnológica Federal do Paraná (UTFPR)
2020
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http://periodicos.utfpr.edu.br/rbect/article/view/8218 |
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peri-article-82182022-09-29T18:40:50Z Didactic use of genetic algorithms: a model for teaching robotics Franco de Camargo, José Tarcísio Anunciato Franco de Camargo, Eliana Vizconde Veraszto, Estéfano Barreto, Gilmar Cândido, Jorge Ciência da computação; matemática da computação; modelos analíticos e de simulação Evolutionary algorithms; Process optimization; Computer simulation The study of articulated robots in higher education necessarily goes through the development of their kinematic models. The inverse kinematic model is usually described algebraically, although this representation is often difficult to obtain. Thus, the use of genetic algorithms in teaching robotics can be very attractive, since they allow students to easily develop models and predict the behavior of robots before their formal development. This way, the results of this work present a relatively fast way to simulate the inverse kinematic model, allowing the designer to have a broader view of the structure of a robot, coming to identify points that must be corrected or that can be optimized. It can be concluded that the use of genetic algorithms in robotics teaching is viable, having as main advantages their easy computational implementation and precision in the representation of kinematic models.. Universidade Tecnológica Federal do Paraná (UTFPR) 2020-04-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf http://periodicos.utfpr.edu.br/rbect/article/view/8218 10.3895/rbect.v13n1.8218 Revista Brasileira de Ensino de Ciência e Tecnologia; v. 13, n. 1 (2020) 1982-873X 10.3895/rbect.v13n1 eng http://periodicos.utfpr.edu.br/rbect/article/view/8218/pdf Direitos autorais 2020 CC-BY http://creativecommons.org/licenses/by/4.0 |
| institution |
Universidade Tecnológica Federal do Paraná |
| collection |
PERI |
| language |
Inglês |
| format |
Artigo |
| author |
Franco de Camargo, José Tarcísio Anunciato Franco de Camargo, Eliana Vizconde Veraszto, Estéfano Barreto, Gilmar Cândido, Jorge |
| spellingShingle |
Franco de Camargo, José Tarcísio Anunciato Franco de Camargo, Eliana Vizconde Veraszto, Estéfano Barreto, Gilmar Cândido, Jorge Didactic use of genetic algorithms: a model for teaching robotics |
| author_sort |
Franco de Camargo, José Tarcísio |
| title |
Didactic use of genetic algorithms: a model for teaching robotics |
| title_short |
Didactic use of genetic algorithms: a model for teaching robotics |
| title_full |
Didactic use of genetic algorithms: a model for teaching robotics |
| title_fullStr |
Didactic use of genetic algorithms: a model for teaching robotics |
| title_full_unstemmed |
Didactic use of genetic algorithms: a model for teaching robotics |
| title_sort |
didactic use of genetic algorithms: a model for teaching robotics |
| description |
The study of articulated robots in higher education necessarily goes through the development of their kinematic models. The inverse kinematic model is usually described algebraically, although this representation is often difficult to obtain. Thus, the use of genetic algorithms in teaching robotics can be very attractive, since they allow students to easily develop models and predict the behavior of robots before their formal development. This way, the results of this work present a relatively fast way to simulate the inverse kinematic model, allowing the designer to have a broader view of the structure of a robot, coming to identify points that must be corrected or that can be optimized. It can be concluded that the use of genetic algorithms in robotics teaching is viable, having as main advantages their easy computational implementation and precision in the representation of kinematic models.. |
| publisher |
Universidade Tecnológica Federal do Paraná (UTFPR) |
| publishDate |
2020 |
| url |
http://periodicos.utfpr.edu.br/rbect/article/view/8218 |
| _version_ |
1805368437516533760 |
| score |
10,819481 |