Keywords
Neuro-Cognition / Artificial Intelligence / Machine Learning / Human-Centered AI / Neurorobotics
Description
As a bridge between humans and technology, the triad of cognition, artificial intelligence (AI), and (neuro-)robotics is becoming increasingly central, as these future technologies transform human–machine interaction. These three areas encompass a wide range of methods. A particular strength of research at TU Chemnitz lies not only in machine learning methods but also in neurocognition and the development of intelligent systems modeled on the human brain.
Research in this focus area aims to enhance the efficiency and quality of hybrid human–machine societies by enabling machines to acquire higher cognitive capabilities or robots to develop self-representation and agency.
Contacts
Prof. Dr. Fred Hamker – Chair of Artificial Intelligence
Prof. Dr. Florian Röhrbein – Chair of Neurorobotics
Prof. Dr. Dr. Marco Ragni – Chair of Predictive Behavioral Analysis
