ETI lab Queretaro

¿Quieres ser parte de la innovación y el descubrimiento?
Únete a uno de nuestros proyectos de investigación para el próximo semestre.

De lo cualitativo a lo cuantitativo...
Presentamos un proyecto basado en la Escala de Daniels, la cual es una escala cualitativa, por lo que se realizó un sistema que combina electromiografía y tecnología mecatrónica para evaluar la fuerza muscular de las extremidades inferiores de forma cuantitativa.
Con este proyecto, buscamos mejorar los diagnósticos clínicos y apoyar el desarrollo de planes de rehabilitación personalizados. Una herramienta diseñada para transformar la evaluación en salud y bienestar.

Pipelines are used for fluid transportation over long distances, necessitating effective monitoring and maintenance strategies. Pipeline Inspection Gauges (PIGs) instrumented with sensors and embedded systems playa crucial role in this field. This Work in Progress explores using a PIG for trajectory estimation and data acquisition. Several sensing technologies, including Inertial Navigation Systems (INS) and odometers, are integrated to determine the location and parameters of the pipeline. The electronic architecture of the PIG, designed for trajectory estimation, is discussed, focusing on the utilization of odometers and an Inertial Measurement Unit (IMU). The system features an FPGA-based electronic acquisition system, incorporating Quadrature Pulse Modules and Counters for data storage and processing. Furthermore, preliminary tests conducted on a pipeline circuit demonstrate the effectiveness of the proposed electronic architecture. Overall, this study presents a comprehensive approach to pipeline trajectory estimation, emphasizing the importance of data acquisition and processing to ensure accurate pipeline location.

In collaboration with Universidad Politecnica de Cataluna

Read all about it:
https://ieeexplore.ieee.org/document/10710669

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In this work, we propose an analytical method for obtaining a dynamic model of a 6 DoF (degrees of freedom) robotic leg based on screw theory with the Virtual Work approach. Developing an analytical model for a robot with more than 2 DoF becomes complicated as the number of its operations and terms in its equations increases drastically. This makes it a rather complex problem to solve by traditional methods, including the Lagrangian method. With the Virtual Work method based on screw theory, the model is obtained and there are advantages in the procedure. The robotic leg is presented as an open kinematic chain serial robot with 6 revolute joints. The forward kinematics is solved first, where the Product of Exponentials (PoE) method is applied, also based on screw theory, which is needed to perform the dynamic model. The results show the torque equations represented in the dynamics equation which is constituted by the inertia, Coriolis, and gravity matrices. The screw theory is a mathematical tool that helps to obtain the kinematic and dynamic modeling more simply in a complex system of multiple DoF.

In colaboration with Posgrado en Mecánica UASLP

Read all about it:https://somim.org.mx/memorias/memorias2024/articulos/M/A3_77.pdf

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El profesor Ivo Ayala presentó el día de hoy el trabajo: Fostering Artificial Intelligence Competencies through Project Based Learning: A Capstone Approach.
Este trabajo fue aceptado para su inclusión en la International Conference on Engineering and Product Design Education (E&PDE 2024) celebrada en la Aston University de Birmingham en el Reino Unido.

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In today’s quickly evolving technological landscape, engineering graduates must be able to understand the fundamentals of cutting-edge techniques. Under this perspective both students and faculty must explore the digital world and artificial intelligence as allies in technological innovation. As the demand for Artificial Intelligence (AI) expertise continues to rise, equipping students with essential AI competencies has become imperative. For their final capstone projects, engineering students were asked to come up with an innovative system, under the supervision of four faculty members. This paper presents the student’s learning experience while designing AI based systems in real-world scenarios and resulted in fostering hands-on experience in novel technologies.

Read the full paper: https://doi.org/10.35199/EPDE.2024.75

An educational model is implemented at the national level for the development of competencies, student outcomes, including the participation of academic partners from the public and private sectors and civil organizations, developing solutions for real challenges and problems within organizations. An educational model that emphasizes the development of disciplinary and transversal competencies through experiential experience, solving real challenges within companies. Although this applies to all disciplines, the development of skills in electronics and in the areas that integrate it, such as mechatronics, has had valuable results.

Read the full paper: https://ieeexplore.ieee.org/abstract/document/10604940

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