Dr. Tim Welschehold
Albert-Ludwigs-Universität Freiburg |
About me
- 05/2022 - up to now: Substitute professor and commissary head of the Autonomous Intelligent Systems group, University of Freiburg, Germany
- 03/2020 - 04/2022: Senior Researcher at the Autonomous Intelligent Systems and Robotic Learning groups, University of Freiburg, Germany
- 04/2014 - 03/2019: PhD in Computer Science at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard, University of Freiburg, Germany
- 05/2013 - 03/2014: Scientific Researcher, Fraunhofer Institute of Solar Energy Systems
- 10/2007 - 04/2013: Diploma in Physics with minor in Computer Science, University of Freiburg
Research Interests
- Reinforcement learning
- Learning from demonstration
- Robot manipulation
- Dynamical Systems
Current Research Projects
- ReScale - Responsible and Scalable Learning for Robots Assisting Humans
- OpenDR - Open Deep learning toolkit for Robotics
- OML - Organic Machine Learning
Past Research Projects
- HYBRIS – Hybrid Reasoning for Intelligent Systems
- ROTAH – Robot Task Learning by Active Tracking of Hands
Publications
Google scholar profile
2023
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Nicolai Dorka,
Tim Welschehold,
Wolfram Burgard,
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
International Conference on Learning Representations (ICLR), 2023.
Also at: Decision Awareness in Reinforcement Learning Workshop at the International Conference on Machine Learning (ICML), 2022.
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Abdelrahman Younes*,
Daniel Honerkamp*,
Tim Welschehold,
Abhinav Valada,
Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds
Robotics and Automation Letters (RA-L), 8(2), 2023.
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Nicolai Dorka,
Tim Welschehold,
Joschka Boedecker,
Wolfram Burgard,
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Robotics and Automation Letters (RA-L), 8(2), 2023.
Also at: Workshop on Deep Reinforcement Learning, Conference on Neural Information Processing Systems (NeurIPS) , 2021.
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2022
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Daniel Honerkamp,
Tim Welschehold,
Abhinav Valada,
N2M2:Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
arXiv preprint arXiv:2206.08737, 2022.
Download Video Demo BibTeX -
Fabian Schmalstieg*,
Daniel Honerkamp*,
Tim Welschehold,
Abhinav Valada,
Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces
Proceedings of the International Symposium on Robotics Research (ISRR), 2022.
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Iman Nematollahi,
Erick Rosete-Beas,
Adrian Röfer,
Tim Welschehold,
Abhinav Valada,
Wolfram Burgard,
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, USA, 2022.
Download Video Project Page BibTeX -
Jan Ole von Hartz,
Eugenio Chisari ,
Tim Welschehold,
Abhinav Valada,
Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation
Reinforcement Learning for Contact-Rich Manipulation Workshop at ICRA, Philadelphia, USA, 2022.
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Eugenio Chisari ,
Tim Welschehold,
Joschka Boedecker,
Wolfram Burgard,
Abhinav Valada,
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation
IEEE Robotics and Automation Letters (RA-L), 7(2):3695--3702, 2022.
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Shengchao Yan ,
Tim Welschehold,
Daniel Büscher,
Wolfram Burgard,
Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L),7(1):191--198., 2022.
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Laura Londoño,
Adrian Röfer,
Tim Welschehold,
Abhinav Valada,
Doing Right by Not Doing Wrong in Human-Robot Collaboration
ACM/IEEE International Conference on Human-Robot Interaction Workshop on Fairness and Transparency in Human-Robot Interaction, 2022.
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Abdelrahman Younes,
Daniel Honerkamp,
Tim Welschehold,
Abhinav Valada,
SoundSpaces Challenge 2022 - 2nd Place
Conference on Computer Vision and Pattern Recognition (CVPR) Embodied AI Workshop, 2022.
Video Challenge
2021
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Daniel Honerkamp,
Tim Welschehold,
Abhinav Valada,
Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning
in IEEE Robotics and Automation Letters (RA-L) , 2021.
Download Video Demo BibTeX -
Abdelrahman Younes,
Daniel Honerkamp,
Tim Welschehold,
Abhinav Valada,
SoundSpaces Challenge - 1st Place
Conference on Computer Vision and Pattern Recognition (CVPR) Embodied AI Workshop, 2021.
Video Challenge
2020
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Tim Welschehold
Learning mobile manipulation actions from human demonstrations: an approach to learning and augmenting action models and their integration into task representations
Ph.D. Dissertation
2019
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Tim Welschehold, Nichola Abdo, Christian Dornhege, Wolfram Burgard
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019.
BibTeX -
Iman Nematollahi , Daniel Kuhner, Tim Welschehold, Wolfram Burgard
Augmenting Action Model Learning by Non-Geometric Features
Proceedings of the International Conference on Robotics and Automation (ICRA), Montreal, Canada, 2019
BibTeX
2018
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Tim Welschehold, Christian Dornhege, Fabian Paus, Tamim Asfour, Wolfram Burgard
Coupling Mobile Base And End-Effector Motion in Task Space
Proceedings of the International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018
BibTeX -
Christian Zimmermann, Tim Welschehold, Christian Dornhege, Wolfram Burgard, Thomas Brox
3D Human Pose Estimation in RGBD Images for Robotic Task Learning
In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), Brisbane, Australia, 2018.
BibTeX
2017
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Tim Welschehold, Christian Dornhege, Wolfram Burgard
Learning Mobile Manipulation Actions from Human Demonstrations
Proceedings of the International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, 2017
BibTeX -
Tim Welschehold, Nichola Abdo, Christian Dornhege, Wolfram Burgard
Towards Learning Task Intentions from Human Demonstrations
Workshop on “Learning for Collaborative Robotics: Enabling Flexible, Redeployable and Agile Industrial Applications” at the International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, 2017
BibTeX
2016
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Tim Welschehold, Christian Dornhege, Wolfram Burgard
Learning Manipulation Actions from Human Demonstrations
Proceedings of the International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, 2016
BibTeX -
Matthias Demant, Tim Welschehold, Marcus Oswald, Sebastian Bartsch, Thomas Brox, Stephan Schoenfelder, Stefan Rein
Microcracks in Silicon Wafers I: Inline Detection and Implications of Crack Morphology on Wafer Strength
IEEE Journal of Photovoltaics 6 (1),pp. 126-135, 2016
BibTeX -
Matthias Demant, Tim Welschehold, Sven Kluska, Stefan Rein
Microcracks in Silicon Wafers II: Implications on Solar Cell Characteristics, Statistics and Physical Origin
IEEE Journal of Photovoltaics 6 (1),pp. 136-144, 2016
BibTeX
2014
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Matthias Demant, Markus Oswald, Tim Welschehold, Sebastian Nold, Sebastian Bartsch, Stephan SChoenfelder, Stefan Rein
Micro-Cracks in Silicon Wafers and Solar Cells: Detection and Rating of Mechanical Strength and Electrical Quality
29th European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC), 2014
BibTeX