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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- Design and validation of interaction systems in autonomous vehicles(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2025-06) Mandujano Granillo, Jesús Arturo; Lozoya Santos, Jorge de Jesús; emipsanchez; Félix Herrán, Luis Carlos; School of Engineering and Sciences; Campus Monterrey; Tudón Martínez, Juan CarlosAs autonornous vehicle trust through Hurnan-M portant area of researc how the vehicle perceiv driver's behavioral state control. To address th rnentary systerns that i visualization interface feature-based rnonitorinThe research follo lection, and experirnent e6 Neighborhood Elect sensors, GNSS localiza ating Systern (ROS) and alizing vehicle state, en The DMS project lever L5l 5 carnera cornbined such as Eye Aspect Rati tern integrates a calibra and Randorn Forest (RF The HMI systern scenarios, including autonornous path following, gear and speed rnonitoring, and obstacle de tection. The interface successfully cornmunicated critica} information such as driving mode, environrnental object detection, localization, and systern actuation feedback. For the bio rnetric systern, the classification rnodels achieved high accuracy using SVM when tested on unseen data. The validation process confirrned the ability to detect a range of driver states, including eye closure, head distraction, and yawning, by processing extracted features and derived behavioral rnetrics such as blink rate. The outcornes of this thesis highlight the irnportance of designing AV interfaces that cornmunicate its situational awareness, while being capable of acquiring user behavioral in forrnation. The findings support future integration of such systerns into shared rnobility con texts, with potential extensions including user feedback rnodalities, real-time driver alerting mechanisrns, and multi-user calibration capabilities for broader deployment.
- Multi-disciplinary Enhancements for Autonomous Service Robots: A Case Study on PiBot's Navigation, Perception, and Human Interaction(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023-01) Rodríguez Raygoza, Luis Emiliano; Lozoya Santos, Jorge de Jesús; mtyahinojosa; Félix Herrán, Luis Carlos; Ramírez Moreno, Mauricio Adolfo; Reyes Avendaño, Jorge Antonio; School of Engineering and Sciences; Campus Monterrey; Tudon Martínez, Juan CarlosAutonomous Mobile Robots (AMRs) are rising in modern-day applications ranging from material transportation to human-robot interactions, exhibiting the potential to contribute in both indoor and outdoor environments [30]. Tecnologico de Monterrey’s PiBot, a house-built AMR, presents the typical challenges faced by such robots, mainly its dependence on a single 2D LiDAR for Simultaneous Localization and Mapping (SLAM) and obstacle detection, which limits its perception capabilities, especially in dynamically changing environments with human obstacles. Additionally, its interaction capability is restricted to a touchscreen or terminal input, posing a barrier to intuitive human-machine communication. This thesis presents a series of multi-disciplinary enhancements on PiBot, focusing on augmenting its autonomous navigation performance, perception, and interactive capabilities while investigating understanding its power consumption behavior. A known, better-performing local planner algorithm is proposed, with more outstanding results in social environments where dynamic obstacles such as humans are present. Integrating a RealSense D435i depth camera to the obstacle layer of the costmap transcends the single-height obstacle detection limitation from the 2D LiDAR, thereby enhancing PiBot’s perception. Concurrently, an exploration into Natural Language Processing (NLP) and Convolutional Neural Networks (CNN) is displayed, implementing a Spanish speech recognition system using Wav2Vec2 models and evaluating MaskNET’s performance in dynamic video capturing scenarios. Moreover, a meticulous analysis of PiBot’s power consumption under various operational scenarios provides crucial insights into its autonomy duration. The expected results are enhanced PiBot’s indoor navigation, obstacle detection, and human interaction through speech commands, alongside a deeper comprehension of its power autonomy and perception augmentation. The anticipated contributions from this research aim to push the reliability and efficiency of AMR systems, addressing the integrative challenges of multi-sensor navigation, obstacle detection, and interactive capabilities, thereby paving a path towards more adept and intuitive autonomous service robots
- Design methodology of an energy harvesting damper for automotive suspension(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022) García Escalante, Kevin Alejandro; Lozoya Santos, Jorge de Jesús; 220874; Lozoya Santos, Jorge de Jesús; tolmquevedo/mscuervo; Tudón, Juan Carlos; Sircosta, Salvatore; School of Engineering and Sciences; Campus Monterrey; Galluzzi Aguilera, RenatoEnergy losses in automobile cars nowadays are significant, because of climate change everything is turning into a circular economy, green energy, and regenerating of as much energy as possible. To improve fuel economy in cars, reduce Co2 emissions and supply other power demand systems, recovery systems were developed such as the regenerative braking energy and others are gaining attention like vibration energy recovery on shock absorbers. Therefore, this energy dissipated through the shock absorber as heat can be transformed into electricity and stored in a battery for other use in the vehicle. The presented work provides a solution to regenerate energy through a transmission coupled with an Electric Motor. The main contribution of this research project is the implementation of a Cycloid Drive which was never used for this type of application and is totally new in the state of the art. The second main contribution is the optimization design methodology to couple both components together, the Electric Motor model and the Cycloid Drive model. A way to link them is presented, and several tests are performed with the parameters of the EV-TEC.
- Development of a modular and scalable electric powertrain platform: Powertrain analysis and constituent features definition(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-11-20) Rivas Torres, Jonathan; Lozoya Santos, Jorge de Jesús; 220874; Lozoya Santos, Jorge de Jesús; puelquio, emipsanchez; Vargas Martínez, Adriana; Ramírez Mendoza, Ricardo; Tudón Martínez, Juan Carlos; Escuela de Ingeniería y Ciencias; Campus Monterrey; Morales Menéndez, RubénThe new business practices are moving towards a more sustainable future and mobility is one of the most crucial areas to achieve it. Electrification is regarded as the most promising technology to achieve sustainable mobility, but the question is how to offer different solutions to meet different customer requirements with the highest performance, in the shortest development time, and in the most cost-effective way possible. Modularity can drive electrification and provide modular solutions with the necessary foundation to adapt to market trends and customer needs and reduce costs. Therefore, modularity can be the key to achieve the widespread adoption of electric vehicles thus more research is necessary. One of the main questions about modularity today is if a modular system can compete with the current conventional systems concerning capacity, efficiency, and performance. This work is focused on the development of a modular and scalable electric powertrain platform for a heavy-duty truck and it is made up of two main parts. The first part, from a technical point of view, is the powertrain modeling and optimization for a 40 tons capacity truck using various driving cycles and various powertrain topologies to find the one with the highest efficiency and lowest energy consumption and that will be the basis for the platform. The second part, from a more analytical aspect, deals with the analysis of the variance characteristics from the product structure of the electric powertrain to identify critical characteristics and define the main constituent features through a variance sensitivity analysis. With this, it is possible to generate the first approximation of the potential feature structure of the modular electric powertrain kit.
- Design and implementation of a navigation system in a robotic platform and characterization of the service robots capabilities(Instituto Tecnológico y de Estudios Superiores de Monterrey, 202-06-20) González Aguirre, Juan Ángel; Lozoya Santos, Jorge de Jesús; 220874; Lozoya Santos, Jorge de Jesús; emipsanchez; School of Engineering and Sciences; Campus MonterreyIn the present work, the design and implementation of a navigation system in a service robot as well as the characterization of the capabilities are explored as well in an application-case for public health monitoring is developed and explained in detail using fundamental blocks to compose a big system. Currently, (2022) service robotics is an emergent field to the point that even the basic definition of service robots is still an open problem, but the COVID-19 pandemic accelerated those developments in the technical sense; therefore this work contributes to that tendency providing what are the fundamental layers of a service robot hoping to inspire and help to develop a methodological framework to develop and evaluate similar systems. For this work, the goal to achieve was to develop and test a robotic system as a surveillance system for the COVID-19 spread and extend robots studied and developed for manufacturing facilities such as Autonomous Guided Vehicles into an urban environment. The basic methodology is composed by identification of literature and technological stack then, propose the structure and components of such a robotic system as a service robot in order to decompose the problem into sub-problems that maps into a technological conceptual layer of the service robots to finally chose and develop a set of functional blocks as a feasible solution based on some rationale. The last step is to test the layers of the robot using a set of experiments representatives to quantify the performance for further improvements. Among the results, it is important to say that the development presented here gathered a considerable amount of market value, and it was exposed in several forums. The evaluation of the system, at the end, reach a 70% of precision detecting face mask misuse and the navigation from point to point exhibits a precision of 0.2 centimeters. The implications of this research are a contribution to the state of the technique in terms of a new patent being developed for the system and contributions to the framework of service robotics in a conceptual sense, proposing a set of performance metrics and fundamental blocks needed in similar systems and studies. Finally, this work can encourage new developments in the area by the research group using this work as a baseline to attack more complicated problems without the necessity of enabling a new robotic platform for research.