Wearable Robots: Assistive Devices for Human Movement
Información del curso
Este curso de verano es organizado por el Departamento de Ingeniería Biomédica en conjunto con los Departamentos de de Ingeniería Mecánica (Código IMEC4528) e Ingeniería Eléctrica y Electrónica (Código IELE4930)
Fecha: De junio 10 a junio 17 de 2022
Horario:08:00 a 12:00, 14:00 a 16:00
Modalidad: Presencial
Idioma:Inglés
This interdisciplinary course will cover different aspects involved in assistive devices for human movement. Specifically, the course will provide an overview of the human musculoskeletal system, experimental methods to track human motion, commonly used device sensors, and control strategies. Students will have the chance to apply concepts learned in the class through OpenSim, an open-source musculoskeletal modeling software, and will work in groups to investigate a specific topic of their choice further in depth to present to the class.
OpenSim Tutorial 3 – scaling, inverse kinematics, and inverse dynamics
IMUs and OpenSense tutorial
Group projects
Neuromuscular overview
Muscle adaptation
Experimental methods – JND, EMG, metabolic cost
OpenSim - Simulation-based device design to reduce metabolic cost
Group project work time
Device sensors
High-level control
Mid-level control
Low-level control
Group project work time
Group project work time/office hours
Group project presentations
Dr Cara Welker obtained her PhD degree in Bioengineering at Stanford University, USA. Currently, she is a visiting assistant professor professor at University of Colorado and a Posdoctoral Fellow at University of Michigan. Her research lies at the intersection of biomechanics, haptics, and robotics.
She is interested in developing assistive devices, both to augment human performance in healthy individuals, as well as to train or compensate for deficits for those with impairments. Topics of particular interest for her are: (1) clever design of passive devices to assist human movement; (2) human-in-the-loop control strategies that incorporate user preference; and (3) designing experiments that give us insight into human sensorimotor control.
Profesor Asistente - (IBIO)
PhD Cum Laude en Ingeniería Biomédica de la Universidad de Zaragoza y Universitat Politecnica de Catalunya
Profesor Asociado - (IELE)
PhD en Ingeniería Eléctrica de la Universidad Estatal de Ohio.
Sus intereses de investigación se centran en Machine learning, IoT, y teoría de sistemas dinámicos para resolver problemas con impacto social.
Profesor Asociado - (IMEC)
Doctor Ingeniero Industrial (Apto Cum Laude) Universidad Politecnica De Madrid- España
Estudiantes de pregrado: haber terminado materias nivel 2.
Estudiantes de maestría y externos: ninguno
Computador portátil propio, software OpenSim (acceso libre) y Matlab (licencia para personas con cuenta Uniandes).