| 21-11-2023 |
Inversión del problema de pronóstico de tiempo de descarga de baterías con Deep Reinforcement Learning
El tiempo en que ocurre la descarga de una batería en el futuro depende de cuál es la energía actual almacenada y cómo se dispondrá de ella posteriormente, es decir, de cómo se descargará la batería en el futuro. En esta investigación se busca invertir este problema. La idea principal es definir el tiempo futuro en que se desea se descargue una batería, y con esa información construir una función que defina cómo ha de descargarse la batería para conseguir tal propósito. Esta función corresponde a una red neuronal profunda, la cual es entrenada mediante aprendizaje reforzado. Este trabajo contempla reuniones semanales para reporte de avances y discusión. Ya se cuenta con un código base en Python, y la idea principal es afinar resultados y explorar mejoras.
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/2 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 16-11-2023 |
Monitoreo de condición de sistemas degradados por corrosión
El objetivo principal es realizar una revisión bibliográfica de investigaciones que hayan abordado el monitoreo de condición de sistemas en ingeniería sujetos a degradación por corrosión. El trabajo consistirá en búsqueda, lectura y análisis de artículos en reuniones semanales con los profesores Magdalena Walczak y David Acuña. La discusión será orientada a identificar líneas de investigación aplicables para la industria nacional. El estudiante tendrá la posibilidad de continuar el proyecto como tesis de magister.
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/1 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 25-07-2022 |
Proyecto RoboTe-X - IPre 10 cr (2022-2)
IPre de 10 cr para trabajar en los distintos proyectos asociados al RoboTe-X
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 2/10 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 07-12-2023 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 07-12-2023 |
Keywords:
automatización
IMPRESION 3D
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 07-12-2023 |
Prerequisites:
IEE2123
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 05-12-2023 |
Keywords:
robótica
control automático
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 21-11-2023 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 1/2 available vacants |
Mentor(s): Open in the plataform |
| 16-11-2023 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 1/1 available vacants |
Mentor(s): Open in the plataform |
| 07-07-2023 |
Keywords:
Prerequisites:
IEE2613
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 28-06-2023 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 20-06-2023 |
Design and implementation of an electronic circuit for the control of a mobile robot.
Currently, the university has robotic platforms that allow the application of theoretical engineering concepts in real scenarios and problems. Despite the advantages offered by these platforms, limitations have been detected in terms of maintenance, repair, and documentation. In this context, it is proposed to redesign and optimize the electronic part of the platform. Specifically, the objective is to design a modular electronic circuit that allows the integration of sensors, actuators, and a microcontroller for performing tasks such as line tracking and distance control. In addition to the electronic circuit, it is expected to develop a demonstration program that allows the execution of the aforementioned tasks, as well as the corresponding documentation of the design process. Desirable requirements: Proficiency in C++ programming. Experience in microcontroller programming. Proficiency in electronic circuit design. Preferably, having completed the laboratory course on electrical measurements (IEE2183).
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 20-06-2023 |
Design and implementation of a mechanical structure for a differential drive mobile robot.
Currently, academic institutions have robotic platforms that enable the practical application of theoretical engineering concepts in real scenarios and problems. However, limitations related to maintenance, repair, and documentation of these platforms have been identified. In this context, it is proposed to carry out a reengineering and improvement of the mechanical design of the robotic platform. Specifically, it is necessary to design a modular mechanical platform that allows the assembly of electronic components for tasks such as line following and distance control. The mechanical design process will involve creating a CAD model, appropriately selecting materials, and finally, practical implementation. It is essential to emphasize that the resulting platform must be robust enough to withstand impacts without jeopardizing its physical integrity or that of the electronic components. Furthermore, the proper documentation of the entire design and implementation process is emphasized to enable its subsequent use or modification.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 20-06-2023 |
Designing a Simulation Environment for Differential Drive Robotic Structures
Currently, academic institutions have robotic platforms that enable the practical application of theoretical engineering concepts in real scenarios and problems. However, limitations have been identified regarding the lack of a simulator that allows students to familiarize themselves with the platform outside the laboratory environment. In this context, the proposal is to design a simulation environment that accurately reproduces the characteristics of existing robotic platforms. Specifically, the geometry of the platforms, electronic components, and mechanical aspects should be considered to achieve an accurate simulation of both the platforms and the operating environment. The simulation environment should be intuitive for the user and have proper documentation to facilitate future improvements or modifications.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 17-04-2023 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 26-12-2022 |
Keywords:
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 25-07-2022 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 2/10 available vacants |
Mentor(s): Open in the plataform |
| 27-06-2022 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 27-01-2022 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/10 available vacants |
Mentor(s): Open in the plataform |
| 05-01-2022 |
Keywords:
control automático
aprendizaje maquina
Prerequisites:
ICM2813
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 05-01-2022 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 29-03-2021 |
Keywords:
Emprendimiento Social
diseño
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |