Brain-Computer Interfaces and Computational Neuroscience

In 2006, our group became one of the first to demonstrate the control of a humanoid robot using a non-invasive brain computer interface (BCI). The system consists of a robot, an electrode cap for sensing brainwaves, and a graphical user interface for controlling the robot remotely. Our original research demonstrated that the BCI can be used to command a HOAP-2 humanoid robot to select and fetch desired objects from remote locations. We have more recently proposed a framework for adaptive hierarchical brain-computer interfacing that allows the user to teach a robot new behaviors on-the-fly.