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Richard Cubek



Richard Cubek studied Applied Computer Science at the University of Applied Sciences Ravensburg-Weingarten. After a two year job as a software engineer in industry he came back to the University, starting as a member of the Robocup team. He later joined the research project "Autonomous Mobile Service Robots", in parallel finishing the Master course "Computer Science" with honors, now being a member of academic staff in Weingarten as well as a Ph.D. student at the University of Ulm. His major research interests lie in the fields of robot learning from demonstration and symbol grounding.

Publications:

- Richard Cubek, Wolfgang Ertel, Günther Palm. A Critical Review on the Symbol Grounding Problem as an Issue of Autonomous Agents. In Proceedings of the 38th German Conference on Artificial Intelligence (KI), Dresden, Germany, September, 21-25. 2015.

- Vladimir Zakharov, Richard Cubek, Wolfgang Ertel. Transparent Integration of a Real-Time Collision Safety System to a Motor Control Chain of a Service Robot. In Proceedings of the 7th Annual International Conference on Technologies for Practical Robot Applications (TEPRA 2015), Boston, Massachusetts, USA, May 11-12, 2015.

- Richard Cubek, Wolfgang Ertel, Günther Palm. High-Level Learning from Demonstration with Conceptual Spaces and Subspace Clustering. In Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, USA, May 26-30, 2015.

- P. Ertle, M. Tokic, R. Cubek, H. Voos, and D. Söffker. Towards learning of safety knowledge from human demonstrations. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'12), Vilamoura, Algarve, Portugal. 2012.

- R. Cubek and W. Ertel. Conceptual Similarity as a Key to High-Level Robot Programming by Demonstration. In ROBOTIK 2012, 7th German Conference on Robotics, Munich, Germany. 2012.

R. Cubek and W. Ertel. Learning and Execution of High-Level Concepts with Conceptual Spaces and PDDL. In 3rd Workshop on Learning and Planning, ICAPS (21st International Conference on Automated Planning and Scheduling). Freiburg, Germany. 2011.

- M. Schneider and R. Cubek and T. Fromm and W. Ertel. Combining Gaussian Processes and Conventional Path Planning in a Learning from Demonstration Framework. In Proceedings of the Eurobot Conference 2010. Rapperswil-Jona (CH). 2010.

- W. Ertel and M. Schneider and R. Cubek and M. Tokic. The Teaching-Box: A Universal Robot Learning Framework. In Proceedings of the 14th International Conference on Advanced Robotics (ICAR 2009). Munich. 2009.