Daniel Honerkamp
PhD Student | ||
Postal address: |
Albert-Ludwigs-Universität Freiburg |
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Office: | Building 80, 01-23 | |
Email: |
honerkamp@cs.uni-freiburg.de |
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Phone: |
+49 761 203-8010 |
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About me
I am a PhD student in the Robot Learning Lab at the University of Freiburg in Germany.
My research aims to address the challenges in applying reinforcement learning to real world systems. This includes work around learning skills, representation learning, sample efficiency and self-supervision. I am also very interested in multi-disciplinary connections, such as with mechanism design and multi-agent systems.
Background
- 05/2020 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg
- 10/2018 - 04/2020: Machine Learning Engineer at Fetch.ai, Cambridge UK
- 10/2017 - 09/2018: M.Sc. Computational Statistics and Machine Learning, University College London
- 10/2013 - 07/2016: B.A. Economics, University of Zurich
Research Interests
- Reinforcement Learning
- Self-supervised Learning
- Embodied AI
Current Research Projects
Publications
-
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 -
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.
Challenge -
Fabian Schmalstieg*,
Daniel Honerkamp*,
Tim Welschehold,
Abhinav Valada,
Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces
ArXiv preprint, 2022.
Download Demo BibTeX -
Abdelrahman Younes*,
Daniel Honerkamp*,
Tim Welschehold,
Abhinav Valada,
Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds
ArXiv preprint, 2021.
Download BibTeX -
Abdelrahman Younes,
Daniel Honerkamp,
Tim Welschehold,
Abhinav Valada,
SoundSpaces Challenge 2021 - 1st Place
Conference on Computer Vision and Pattern Recognition (CVPR) Embodied AI Workshop, 2021.
Video Challenge -
Daniel Honerkamp,
Tim Welschehold,
Abhinav Valada,
Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L), 2021.
Download Video Demo BibTeX -
Marcin Abram,
Daniel Honerkamp
Jonathan Ward,
Jin-Mann Wong
Democratising blockchain: A minimal agency consensus model
International Conference on Blockchain Economics, Security and Protocols (Tokenomics), Paris, 2019.
Download BibTeX
Teaching
Seminars
- Co-organizer, Deep Learning for Autonomous Systems Seminar, University of Freiburg, WS 2020/21
- Co-organizer, Deep Learning Lab, University of Freiburg, SS 2020
- Co-organizer, Self-Supervised Learning Seminar, University of Freiburg, SS 2020
Current Students
- Hierarchical mobile manipulation, F. Schmalstieg, Master Thesis
Past Students
- Deep active localization in continuous action spaces and realistic scenes, 2021, Suresh Guttikonda, Master Project
- Dynamical Audio-Visual Navigation: Catching Unheard Moving Sound Sources in Unmapped 3D Environments, 2021, Abdelrahman Younes, Master Thesis (together with Tim Welschehold)
- Reinforcement Learning for Indoor Multi-Object Exploration, 2022, F. Schmalstieg, Master Project (together with Tim Welschehold)
- Model-Free RL for Robot Manipulation: Avoiding Configuration Jumps and Overestimation, 2022, A. Khalid, Master Project (together with Tim Welschehold)