The main goal of this master project is to find and develop effective
and intuitive ways to control a Nao robot using biopotential signals.
Using external sensors (non-invasive technologies) these signals can be
divided in the following three categories: electromyography (EMG),
electrooculography (EOG) and electroencephalography (EEG). The main
focus will be on the exploitation of EMG, with the possibility to use
EEG as a control mechanism. Using biopotential signals being already a
complex task when considering available technology, the control of the
robot will only consist of guiding the robot through a complex
environment, such as a maze, possibly with obstacles.
Student: Alistair Doswald