Artículo
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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- A personalized assistance system for the location and efficient evacuation in case of emergency: TECuidamos, a challenge-based learning derived project designed to save lives(MDPI, 2022-04-20) López Caudana, Edgar Omar; Ruiz Loza, Sergio; Calixto González, Aarón; Nájera Jiménez, Brandon; Castro, Diego; Romero, Diego; Luna, José; Vargas, Vincent; Legorreta González, Iván; Lara Prieto, Vianney; Caratozzolo Martelliti, Patricia Olga; Membrillo Hernández, Jorge; LOPEZ CAUDANA, EDGAR OMAR; 69726; https://ror.org/03ayjn504The uncertainty of the occurrence of a disaster is greater in places such as Mexico City, a city with one of the largest seismic activities in the world. This leads to a growing need for the population to be better educated in the application of security protocols. Challenge-Based Learning (CBL) is a didactic technique that brings students closer to real situations with the aim of developing the skills required to apply their knowledge in the design, study, and implementation of a solution to a given challenge. In this report, the authors apply this teaching technique to create a system capable of helping civil protection personnel monitor, guide, and record crucial data in an emergency. All of this is achieved through a web administrator and using route planning algorithms hosted within a cloud server to provide the user with an efficient route in real time. The result was a working prototype that performs these tasks. After several tests, the prototype showed the suitability of the system. Educating to prevent is essential to reduce the number of deaths in a disaster. CBL is a suitable technique for developing the necessary skills and integrating multidisciplinary knowledge.
- 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.
- Use of robotic platforms as a tool to support STEM and physical education in developed countries: a descriptive analysis(MDPI, 2022-01-28) Ponce Cruz, Pedro; López Orozco, Christian Fernando; Baltazar Reyes, Germán Eduardo; López Caudana, Edgar Omar; Mazon Parra, Nancy; Molina Gutiérrez, Arturo; PONCE CRUZ, PEDRO; 31857; https://ror.org/03ayjn504; https://ror.org/01tmp8f25The lack of interest of children at school is one of the biggest problems that Mexican education faces. Two important factors causing this lack of interest are the predominant methodology used in Mexican schools and the technology as a barrier for attention. The methodology that institutions have followed has become an issue because of its very traditional approach, with the professor giving all the theoretical material to the students while they listen and memorize the contents, and, if we add the issue of the growing access to technological devices for students, children carrying a phone are more likely to be distracted. This study aims to integrate technology through assistive robots as a beneficial tool for educators, in order to improve the attention span of students by making the learning process in multiple areas of the Mexican curriculum more dynamic, therefore obtaining better results. To prove this, four different approaches were implemented; three in elementary schools and one in higher education: the LEGO® robotic kit and the NAO robot for STEM (science, technology, engineering, and mathematics) teaching, the NAO robot for physical education (PE), and the PhantomX Hexapod, respectively. Each of these technological approaches was applied by considering both control and experimental groups, in order to compare the data and provide conclusions. Finally, this study proves that the attention span is indeed improved as a result of implementing robotic platforms during the teaching process, allowing the children to become more motivated during their PE class and become more proactive and retain more information during their STEM classes.