PhD students

Part 4: This presentation is about how a robot decides on its actions in everyday life. For this purpose, there are some important exciting cognetive models that David Vernon explains and compares them with each other.

Part 3: This presentation will clarify current and upcoming technologies around Cognitively-enabled robotics. In the process, Michael Beetz addresses the interesting questions "Where are we?" and "Where are we going?".

Part 2: This presentation introduces an exciting new architecture called KnowRob by Michael Beetz, which allows knowledge representation and reasoning for robot agents.

Part 1: In this presentation, Michael Beetz takes it a bit further and starts with some basics. In order to understand what cognitive-enabled robotics is, it is necessary to first understand what exactly robots are. In addition, it is necessary to understand what cognitive means as well. All these exciting topics will be covered in this presentation.

Part 16: The Ubica Robotics team presents a new way to take inventory of goods and other practical retail applications, with the help of revolutionary robots. 

Part 15: Benjamin Alt explains in his presentation everything worth knowing about industrialization with robots. Thereby not only already existing application areas are mentioned, where robots are currently used in factories, but also work flow optimizations are mentioned, which are important to be able to build well adapted robots. 

Part 14: Self-learning algorithms are taking on an increasingly important role in people's lives. In his exciting talk, Carlos Hernandez Corbato presents how robots can continue to develop independently. 

Part 13: Britta Wrede explains in her exciting presentation the differences how a robot learns compared to a human. She also breaks through certain prejudices in this topic with very interesting examples.

Part 12: In this presentation Katharina Rohlfing introduces the concept of Pragmatic Frames capturing the collaborative and multimodal nature of language use. For this purpose, she shows various challenges that are derived from the different application examples.

Part 11: In this presentation, Michael Beetz talks about Knowledge representation & reasoning for cognition-enabled robot manipulation. He goes through all the necessary stages step by step and explains them with the help of an example based on a kitchen robot.