Research Group Cognitive Robotics and Learning

Researchers:  Jochen J. Steil (head), A. Denecke, C. Emmerich,  A. Lemme, M. Mühlig, F. Reinhart, M. Rolf, 

The research group investigates efficient learning methods for behaviour generation, motor learning, visual recognition, and imitation learning. The ultimate goal is to enable interactive learning in human-machine cooperation  by overcoming the traditional distinctions of training phase, test phase, and exploitation for behaviour generation. Main methodological foci are neural learning methods, in particular recurrent reservoir networks, and the transfer of other machine learning approaches to interactive scenarios, which require hight computational efficiency and online-learning capabilities. Of particular interest in this domain are generative approaches to allow for behavior- or data sampling along with classification or prediction. Applications comprise behavior learning and generation for ASIMO, PA-10 and other robots, visual onine learnig for object recognition, and autonomous learning approaches to generate complex time series including audio and video signals.

Projects: 

(Only projects directly associated with this CoR-Lab research group are listed, for further projects of  J. J. Steil see here)