Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Transformative safety onboarding: integrating digital transformation into new hire safety training at Home Depot, using augmented reality and Image Tracking(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-04) Vázquez Iracheta, Diana; Tamayo, Francisco, Francisco; emimmayorquin; Vazquez Hernández, Jesus; School of Engineering and Sciences; Campus MonterreyIn this project, I focus on improving a safety onboarding process in Home Depot, by using two technologies: Image Tracking and Augment Reality. During the project I identified different areas of opportunities with the actual onboarding process a proposed a new solution with AR to create a more interactive and engaging experience. The actual onboarding process for Safety at Home Depot, consist in a program called “Safety Passport” in which associates use a paper-based document (with images and text) that explain the main safety topics that are going to prevent some of the most common types of accidents. The areas of opportunities are the lack data tracking, the lack of engaging elements and the limited learning approaches. At the end, the creation of the minimum viable product called “Smart Safety Passport” was receive as a positive experience and underscores the potential of AR as an immersive and effective learning tool.
- Autonomous vehicles navigation strategies enforcing safety with control barrier functions(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024) Rodriguez Ramirez, Jesús Orlando; González Hernández, Hugo Gustavo; emimmayorquin; Bustamante Bello, Martín Rogelio; School of Engineering and Sciences; Campus Ciudad de México; Avendaño Reyes, Jorge AntonioAutonomous vehicles have been a constant study area with many different areas to be exploited, one of them being regarding the navigation problem, and in this research we will be focused on certain technique that has been put into the spotlight recently, the proposed method will be tested both on a Matlab simulation and then on a physical platform known as Qcar developed by Quanser. The proposed solution to the safety problem while performing a navigation task was designed to drive our system, in this case an Ackerman steered vehicle through a predefined trajectory while avoiding an obstacle that is not on the original planning of the route, the design of this restriction has the inherent property of being already mathematically proved to enforce safety if designed correctly. The designed solution is to be tested with a simple pure pursuit control algorithm and once it is proven that can drive the system through the desired trajectory on simulation, it will be modified so it can be tested on the platform present on campus, given that the software that runs on it is closed and not open to modifications, it will require the implementation of Python libraries to run correctly, and given the nature of the platform a simplified version of the algorithm will be needed, this is further discussed on this document, video, code and experiments can be found on the results section of this document.