Welcome to the CoTeSys website
CoTeSys stands for "Cognition for Technical Systems".
How must technical systems be equipped to have abilities, similar to those of humans, in order to learn from observations and realize their environment? How can a robot interact with persons and objects and adapt to unknown situations? These challenging scientific questions are investigated in CoTeSys.
The Cluster of Excellence coordinated by Technische Universität München, is a close collaboration between scientists from various disciplines connecting neurocognitive and neuro-biological foundations to engineering sciences at leading research institutions in Munich: besides Technische Universität München, scientists from Ludwig-Maximilians- Universität München, Universität der Bundeswehr, Max-Planck Institute of Neurobiology, and German Aerospace Agency DLR are involved.
CoTeSys investigates cognition for technical systems such as vehicles, robots, and factories. Cognitive technical systems are equipped with artificial sensors and actuators, integrated and embedded into physical systems, and act in a physical world. They differ from other technical systems in that they perform cognitive control and have cognitive capabilities.
By cognitive capabilities we mean information processing algorithms such as perception, attention, memory, action, learning, and planning. The aim of CoTeSys is to get technical systems that "know what they are doing" - so to speak.
- © CoTeSys
1st International Workshop on Cognition for Technical Systems
Munich 6-8th of October 2008
A major goal in current robotics research is to tear down currently existing barriers between humans and robots in order to enable tight interaction and close collaboration. Such systems can pave the way to highly flexible production methods in industry, more efficient support by technical systems in service applications, or personal butlers in private homes. Such challenging goals can only be achieved, if robots are capable to perceive their environment, reflect on it, and autonomously decide on the most appropriate action in the given situation. Join in to learn from the leading experts in cognitive systems. More...