Dorothea Koert

Quick Info

Research Interests

Human Robot Collaboration, Generalizable Skill Data Base, Intention Learning

Contact Information

Mail.Dorothea Koert
TU Darmstadt, FG IAS,
Hochschulstr. 10, 64289 Darmstadt
Office. Room E 327, Building S2|02
work(lab) +49-6151-16-25370

Curriculum Vitae Publications

Dorothea Koert joined the Intelligent Autonomous Systems Group as a PhD student in June 2016. She is working on the SKILLS4ROBOTS project which aims to acquire and improve a library of motor skills for humanoid robots.

She is also participating in the aDDa project, which aims to build an autonomous car at TU-Darmstadt.

Before joining the Autonomous Systems Labs, Dorothea Koert received a Bachelor of Science degree in Computational Engineering (focus on mechanical engineering) and a Master of Science degree in Computational Engineering (focus on computational robotics) as well as a Master of Science degree in Autonomous Systems from the TU Darmstadt.

Between 2012 and 2016 she was a member of Team Hector, a robotics team with focus on Search and Rescue robotics, and participated in the RoboCup Rescue League as well as in the Darpa Robotics Challenge and the ARGOS challenge. During her master's her research interests focussed on Machine Learning and it's applications to robotics and her master's thesis entitled "Combining Human Demonstrations and Motion Planning for Movement Primitive Optimization" was written under supervision of Rudolf Lioutikov, Guilherme Maeda and Jan Peters.

Research Interest

Human Robot Collaboration, Motor Skill Learning, Mixture Models

Key References

  1. Koert, D.; Maeda, G.; Neumann, G.; Peters, J. (2018). Learning Coupled Forward-Inverse Models with Combined Prediction Errors, Proceedings of the International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
  2. Koert, D.; Maeda, G.J.; Lioutikov, R.; Neumann, G.; Peters, J. (2016). Demonstration Based Trajectory Optimization for Generalizable Robot Motions, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
  3. Maeda, G.; Ewerton, M.; Koert, D; Peters, J. (2016). Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills, IEEE Robotics and Automation Letters (RA-L), 1, 2, pp.784--791.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
  4. S. Kohlbrecher, F. Kunz, D. Koert, C. Rose, P. Manns, K. Daun, J. Schubert, A. Stumpf, O. von Stryk (2014). Towards Highly Reliable Autonomy for Urban Search and Rescue Robots, Robot Soccer World Cup, pp.118-129, Springer International Publishing.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

  

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