7. April 2021
On Thursday, the 8th of April 2021, 10:00, AKII Lab hosts a seminar on Biomechanics and Rehabilitation with a great invited talk from a world expert in Robotic Rehabilitation, Dr. Fabian Just.
Usability innovations in rehabilitation robotics
In the last 20 years, robotic devices are increasingly used for rehabilitation training of neurological patients. Robots can increase the intensity through adaptive and gamified training while relieving the therapist from hard physical work. Nevertheless, therapists and patients are not able to feel each other and the therapist has only limited possibilities to adapt to the training (i.e. computer interface).
In this talk, I will show the current state of the art in robotic rehabilitation and present novel approaches to increase the usability of rehabilitation robots.
Dr. Fabian Just was a postdoctoral researcher at ETH Zurich and focused on controls, machine learning, and rehabilitation robotics. He developed the fifth version of ARMin, an arm rehabilitation robot specifically designed with intelligent control strategies to enhance the capabilities of therapists.
Fabian received an M.Sc. degree in electrical and computer engineering from Purdue University (IN, USA) in 2013 as well as an M.Sc. degree in automatic control from Ruhr-University Bochum (Germany) in 2014. From 2014 to 2015 he worked at the institute of automation and computer control at Ruhr-University Bochum as a research and teaching assistant.
Just right after, our very own, Mr. Gheorghe Lisca will talk about Leveraging biomechanics assessment with Machine Learning.
The movement of the human body is the result of proper coordination between the three systems: skeletal, muscular, and nervous. The study of human movement pathologies must consider all of them. In vivo studies are limited by the required direct measurements which are difficult to perform and have small sizes. In silico studies show great potential for exploratory studies. This talk will summarize the state of the art in the simulation of the human body neuromusculoskeletal model, and discuss a few research directions for the control of this model.
Gheorghe Lisca is a Ph.D. candidate at THI and AKII Lab researching techniques for the control of the biomechanical models of the human body. In his previous academic activity, he researched Artificial Intelligence for service and social robots at the Technical University of Munich and the University of Bremen in Germany. His entrepreneurial experience includes two co-founded startups and multiple feasibility studies.
Gheorghe received his M.Sc. in Artificial Intelligence and Computer Vision and B.Eng in Computer Science from the Technical University of Cluj-Napoca, Romania.