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Machine Learning for Robotics
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX

Professorship for Machine Learning for Robotics

Smart Robotics Lab

Boltzmannstrasse 3
85748 Garching info@srl.cit.tum.de

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Simon Schaefer

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Office: 03.09.039
Mail: Simon.K.Schaefer@tum.de

Brief Bio

I received my Master's and Bachelor's degree from ETH Zurich and studied as well as worked at Stanford University, National University of Singapore, Amazon robotics and several others. For more information please see my personal website and google scholar.

Research Interests

  • Human Robot Interaction
  • Self-Supervised Learning
  • Uncertainty in Machine Learning
  • Event Cameras

Always happy to discuss new research ideas. If you want to conduct research in any of these areas, feel free to contact me!

Student Projects

I am open to supervising ambitious and talented Master and Bachelor students for their thesis. If you want to work with me, please send me an email describing the area / project you would like to work on. Please also attach your CV and up-to-date transcript.


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Conference and Workshop Papers
2023
[]BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking (D Henning, C Choi, S Schaefer and S Leutenegger), In IEEE International Conference on Intelligent Robots and Systems (IROS), 2023. ([video]) [bibtex] [pdf]
[]GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild (S Schaefer, D Henning and S Leutenegger), In IEEE International Conference on Intelligent Robots and Systems (IROS), 2023. ([video][project page]) [bibtex] [pdf]
[]Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning (A Penzkofer, S Schaefer, F Strohm, M Bâce, S Leutenegger and A Bulling), In International Conference on Autonomous Agents and Multiagent Systems (AMASS) - Adaptive and Learning Agents Workshop, 2023.  [bibtex] [pdf]
2022
[]Visual-Inertial SLAM with Tightly-Coupled Dropout-Tolerant GPS Fusion (S Boche, X Zuo, S Schaefer and S Leutenegger), In International Conference on Intelligent Robots and Systems (IROS), 2022. ([project page]) [bibtex] [pdf]
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Informatik IX

Professorship for Machine Learning for Robotics

Smart Robotics Lab

Boltzmannstrasse 3
85748 Garching info@srl.cit.tum.de

Follow us on:
SRL  CVG   DVL