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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | Portuguese |
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Universidade Tecnológica Federal do Paraná
2020-04-01
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| Series: | Revista Brasileira de Ensino de Ciência e Tecnologia |
| Subjects: | |
| Online Access: | https://periodicos.utfpr.edu.br/rbect/article/view/8218 |
| _version_ | 1818907737752338432 |
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| author | José Tarcísio Franco de Camargo Eliana Anunciato Franco de Camargo Estéfano Vizconde Veraszto Gilmar Barreto Jorge Cândido |
| author_facet | José Tarcísio Franco de Camargo Eliana Anunciato Franco de Camargo Estéfano Vizconde Veraszto Gilmar Barreto Jorge Cândido |
| author_sort | José Tarcísio Franco de Camargo |
| collection | DOAJ |
| 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.
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| first_indexed | 2024-12-19T21:59:53Z |
| format | Article |
| id | doaj.art-d82db356f124432d85c1afbc494c545d |
| institution | Directory Open Access Journal |
| issn | 1982-873X |
| language | Portuguese |
| last_indexed | 2024-12-19T21:59:53Z |
| publishDate | 2020-04-01 |
| publisher | Universidade Tecnológica Federal do Paraná |
| record_format | Article |
| series | Revista Brasileira de Ensino de Ciência e Tecnologia |
| spelling | doaj.art-d82db356f124432d85c1afbc494c545d2022-12-21T20:04:10ZporUniversidade Tecnológica Federal do ParanáRevista Brasileira de Ensino de Ciência e Tecnologia1982-873X2020-04-0113110.3895/rbect.v13n1.82185385Didactic use of genetic algorithms: a model for teaching roboticsJosé Tarcísio Franco de Camargo0Eliana Anunciato Franco de Camargo1Estéfano Vizconde Veraszto2Gilmar Barreto3Jorge Cândido4Centro Regional Universitário de Espírito Santo do Pinhal, Espírito Santo do Pinhal, São Paulo, Brasil.Centro Regional Universitário de Espírito Santo do Pinhal, Espírito Santo do Pinhal, São Paulo, Brasil.Universidade Federal de São Carlos, Araras, São Paulo, Brasil.Universidade Estadual de Campinas, Campinas, São Paulo, Brasil.Universidade Tecnológica Federal do Paraná, Campo Mourão, Paraná, Brasil.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. .https://periodicos.utfpr.edu.br/rbect/article/view/8218evolutionary algorithmsprocess optimizationcomputer simulation |
| spellingShingle | José Tarcísio Franco de Camargo Eliana Anunciato Franco de Camargo Estéfano Vizconde Veraszto Gilmar Barreto Jorge Cândido Didactic use of genetic algorithms: a model for teaching robotics Revista Brasileira de Ensino de Ciência e Tecnologia evolutionary algorithms process optimization computer simulation |
| title | 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_short | Didactic use of genetic algorithms: a model for teaching robotics |
| title_sort | didactic use of genetic algorithms a model for teaching robotics |
| topic | evolutionary algorithms process optimization computer simulation |
| url | https://periodicos.utfpr.edu.br/rbect/article/view/8218 |
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