Topic Proposals

See TUMonline

At the end of the module the students are able to independently design algorithms and computational hardware to process sensory information and to generate motor actions for closed-loop robotic systems. The students will understand principles of information processing in neuronal systems (as eg. distributed operations and event coding), and will be able to apply those principles to problems in technical systems. In addition, the students learn competences in efficient and problem-oriented team working.

The project tasks concern hardware and software topics in the areas of neuroscientific algorithms for data processing and their application to robotics. This includes processing of high-dimensional sensory data (such as obtained from vision or audition), fusing information from such sensor modalities, and ultimately generating motor outputs that enable closed loop systems to intelligently interact in complex environments. Aspects such as hardware/software co-design, distributed parallelized information processing, limiting algorithmic complexity, and realtime data processing play an important role.

Fundamentals of control engineering and robotics Programming in C/C++ or Java The following modules should have been successfully completed before attending this module: Control systems 1 Fundamentals of Intelligent Robots Computational Intelligence

oral and written