I am pursuing a master's degree at the Graduate School of Neural Information Processing in Tübingen, and I am doing my master thesis in the Brain-Computer Interfaces (BCI) group. Previously I completed my B. Sc. in Mechanical Engineering at the UPB in Medellín, Colombia.
My research focuses on robotic assistive devices for patients who suffer upper limb motor impairments, such as spinal cord injuries or amyotrophic lateral sclerosis. In particular, I want to find out what are the best possible ways of controlling a robotic prosthetic arm using signals elicited by a human.
In the BCI case, these signals are usually extracted noninvasively via electroencephalography (EEG), which is very noisy and only allows a slow and low-dimensional communication between brain and robot. In order to bring better solutions, we aim to combine artificial intelligence in robotics with paradigms that enhance human interaction with the devices.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems