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Prof. Dr. h.c. Michael Beetz, PhD

Cognitive Robot Abstract Machine

Michael Beetz provides an educational introduction to CRAM, Cognitive Robot Abstract Machine. How can we write a robot control program where the robot receives instructions for the performance of a task and is able to produce the behavior neccessary to accomplish the task? This simple question is not fully answered yet as there is still an information gab between instruction and body motion that has to be filled in a semantically meaningful manner. One way is simplifying perception tasks and implementing motion contrains. Follow Michael Beetz's interesting approach to metacognition.

Digital Twin Knowledge Bases

Follow Michael Beetz' talk on the exciting topic of digital twin knowledge bases. The term digital twins refers to virtual, AI-based images of physical objects in the real world. It is an emerging technology and plays a crucial role for the Industry 4.0 and the digitization of manufacturing in several domains. In retail, for example, digital twins show an exact digital replica of the store and warehouse and the location of each product. In his comprehensive talk, Michael Beetz focuses on the aspect of knowledge representation.