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Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.
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- Implementation of NAO robot maze navigation based on computer vision and collaborative learning(Frontiers, 2022-04-04) Magallán Ramírez, Daniela; Martínez Aguilar, Jorge David; Rodríguez Tirado, Areli; Balderas Silva, David Christopher; López Caudana, Edgar Omar; Moreno García, Carlos Francisco; BALDERAS SILVA, DAVID CHRISTOPHER; 222222; https://ror.org/03ayjn504; https://ror.org/04f0qj703Maze navigation using one or more robots has become a recurring challenge in scientific literature and real life practice, with fleets having to find faster and better ways to navigate environments such as a travel hub, airports, or for evacuation of disaster zones. Many methodologies have been explored to solve this issue, including the implementation of a variety of sensors and other signal receiving systems. Most interestingly, camera-based techniques have become more popular in this kind of scenarios, given their robustness and scalability. In this paper, we implement an end-to-end strategy to address this scenario, allowing a robot to solve a maze in an autonomous way, by using computer vision and path planning. In addition, this robot shares the generated knowledge to another by means of communication protocols, having to adapt its mechanical characteristics to be capable of solving the same challenge. The paper presents experimental validation of the four components of this solution, namely camera calibration, maze mapping, path planning and robot communication. Finally, we showcase some initial experimentation in a pair of robots with different mechanical characteristics. Further implementations of this work include communicating the robots for other tasks, such as teaching assistance, remote classes, and other innovations in higher education.
- Improving the attention span of elementary school children for physical education through an NAO robotics platform in developed countries(Springer Nature, 2022-03-17) Ponce Cruz, Pedro; Molina Gutiérrez, Arturo; Baltazar Reyes, Germán Eduardo; Mazon Parra, Nancy; https://ror.org/03ayjn504Education today faces a powerful enemy: the lack of interest from students, who, even if attending class, find themselves distracted. This enemy has been in our schools for a long time, but it has never been as strong as it is now. Technology has made it strong; phone-bearing children have become its ally. This investigation intends to return technology to our side as educators by proposing the use of an assistive robot, proving that it attracts the attention of students and motivates them to enjoy Physical Education (PE) class, where children learn how to live a healthy life, avoiding diseases and conditions such as obesity, diabetes, and heart problems. To prove this, we measured the attention levels and motivation of the students in two primary school classes, one, a traditional class, and the other, a robot-assisted class. The data was analyzed from both engineering and psychological perspectives. This study concludes that the attention span of children improves, and their motivation increases as a result of using an NAO robot. Consequently, a robot-assisted PE class can decrease diabetes, obesity, and strengthen heart functions when the children learn how to live a healthy life effectively.
- Improving education in developing countries using robotic platforms(Springer, 2019-05-24) Ponce Cruz, Pedro; Molina Gutiérrez, Arturo; López Caudana, Edgar Omar; Baltazar Reyes, Germán Eduardo; Mazon Parra, Nancy; https://ror.org/03ayjn504; https://ror.org/01tmp8f25In developing countries, educational programs have been using an out of date teaching methodology, where students’ only work is to listen to the professors’ lessons without having practical applications or hands-on experience, thereby provoking a decrease in student attention span, motivation, and boredom with learning processes. This work proposes the use of robotic platforms inside elementary schools and universities to improve and evaluate the usability and efectiveness of robots on students’ attention spans, motivation, and knowledge acquirement during their classes. This work mentions a case of study in Mexico where the use of the robotic platforms was evaluated. To evaluate the learning process of undergraduate students, a hexapod robot was used throughout a basic programming course to help the students learn about robotics programming and path planning algorithms. At the end of the course, several surveys were given to the students to evaluate their perceptions about the course and the use of the robotic platform. In the elementary school, a NAO Robot was used to give students four diferent diligences in physics, mathematics and physical education classes. During these experimentations, the attention span of the students and their ability to use the robotic platforms were observed, using a behavior observation protocol; also, their knowledge acquisition before and after class was evaluated. The results showed that the use of a robotic platform in class helps the students improve their knowledge acquisition and increases their motivation and attention span. Also, the surveys and usability analysis demonstrate that the design of the diligences and course projects were sufcient to generate greater interest among the students in the topics taught in school.