MH 01-Human Robotics

Human Robotics: Neuromechanics and Motor Control

MH - Medicine

Neuromuscular Diagnostics

Neuromechanics and Motor Control

Further disciplines

Engineering, Physiology, Kinesiology, Computer Science, Psychology

Planned project location:

60/62 Georg-Brauchle-Ring (Campus D)

Dr

Raz

Leib

raz.leib@tum.de

0049.89.289.24495

We investigate the computational principles and mechanisms that underlie neuromechanical control and motor learning using robotic systems to produce virtual environments. Human subjects perform simple interaction movements such as reaching or interacting with objects while we manipulate the sensory feedback. Through this manipulation we can probe the mechanisms behind motor control and learning. Our work uses a blend of experimental, theoretical and computational approaches. We focus primarily on the human arm as a system that demonstrates many of the features that make motor control a difficult problem (Franklin and Wolpert, Neuron, 2011). We use robotic interfaces and virtual reality systems in order to control precisely the sensory inputs to the subjects.

The project will involve working with other members of the lab to investigate human sensorimotor control. Tasks will generally involve experimental design, setting up the robotic system and running subjects, analysing data, and finally preparing a poster for presentation.

The exact project (and tasks) can depend on both the student background and interest.

40

2 years of bachelor studies completed

Applicants will ideally have a background in human physiology, psychology, or engineering, with an interest in human motor control or robotics.

Experience with data analysis, Matlab or Python, or C++ programming would be helpful.