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Part 5: 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.

Date recorded
2022-09-20

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.

Date recorded
2022-09-19

Part 4: In this presentation John Leird talks about the integration of perception and action in the soar cognitive architecture. In addition, exciting theses concerning cognition in psychology are included.

Date recorded
2022-09-19

Part 2: In this lecture Antonio Lieto tells interesting facts about commonsense reasoning frameworks for dynamic knowledge invention via conceptual combination and blending. For this purpose, real problems and approaches to solutions are used and addressed.

Date recorded
2022-09-19

Part 1: The first talk will start with a short review of some basics of AI and computer science. Michael Beetz will also present some interesting examples in the world of cognition-enabled manipulation. 

Date recorded
2022-09-19

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.

Date recorded
2022-09-08

Part 9: In this presentation Michael Suppa shows exciting application areas where problems of robots in daily life can be recognized. The focus is on how the problems with the perception of the robots come about and how they can be solved. 

Date recorded
2021-11-12

Part 8: Unlike the previous parts, this presentation is about a more theoretical general problem and less about examples of robots and their functions. Pedro Lima presents how robots are benchmarked and uses a probabilistic approach as an example.  

Date recorded
2021-11-11

Part 6: In this presentation, Martin Butz explains a very exciting approach to creating compositional cognition in robots that draw on Sensorimotor experiences. Therefore sensorimotors are presented and explained how the experience can be used for interesting developing concepts.

Date recorded
2021-11-11

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?".

Date recorded
2021-11-11