Our research in autonomous robotics is aimed at demonstrating that neural dynamic architectures of embodied cognition can generate object-oriented actions and simple forms of cognition. We organize the work around a scenario in which a partially autonomous robot system interacts with human operators with whom they share a natural environment. The robot system must acquire scene understanding to interpret user commands and autonomously perform actions such as orienting toward objects, retrieving them, possibly manipulating them and handing them over to the human operator. Based on analogies with how nervous systems generate motor behavior and simple forms of cognition, we use attractor dynamics and their instabilities at three levels to generate movement trajectories, to generate goal-directed sequences of behaviors, and to derive task-relevant perceptual representations that support goal-directed behavior.
Interested in autonomous robotics?
Additional material, exercises, and software related to our research topics can be found on the external website related to our theoretical framework Dynamic Field Theory.
If you are a RUB student interested in our work, have a look at the lecture Autonomous Robotics: Action, Perception, and Cognition, or our lab course in autonomous robotics, found under "Teaching" on the left.
We also offer group study projects, as well as Bachelor, Master, and Diploma projects for students of various fields. Check the offered projects under "Teaching" or just contact our group leader with your needs and we will talk about possible projects.
If you would like to visit the lab, meet some of the people, and have a look at our robots, just send an email to our group leader.
For external students and researchers, we offer a yearly summer school on our methods, see the Dynamic Field Theory web pages for more information.