Lukas Hermann
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Albert-Ludwigs-Universität Freiburg |
About me
- 10/2011 - 09/2015: Bachelor o.Sc. in Computer Science with minor in Cognitive Science, University of Freiburg
- 10/2015 - 07/2019: Master o.Sc. in Computer Science with minor in Cognitive Science, University of Freiburg
- 02/2020 - up to now: Working at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard as PhD Student
Research Interests
- Robot Learning
- Deep Reinforcement Learning
- Self-Supervised Learning
Current Research Projects
Publications
Journal and Conference Papers
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Oier Mees*, Lukas Hermann*, Wolfram Burgard
NEW: What Matters in Language Conditioned Robotic Imitation Learning
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022
Download BibTeX Project Page Dataset Code -
Oier Mees*, Lukas Hermann*, Erick Rosete-Beas, Wolfram Burgard
NEW: CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
IEEE Robotics and Automation Letters (RAL), 2022 >
Download BibTeX Project Page Dataset Code Video -
Iman Nematollahi, Oier Mees, Lukas Hermann, Wolfram Burgard
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020
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Maximilian Argus*, Lukas Hermann, Jon Long, Thomas Brox
FlowControl: Optical Flow Based Visual Servoing
IEEE International Conference on Intelligent Robots and System (IROS), Las Vegas, Arizona, 2020
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Lukas Hermann*, Maximilian Argus*, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox
Adaptive Curriculum Generation from Demonstrations for Sim-To-Real Visuomotor Control
IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020
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Workshop Papers
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Oier Mees*, Lukas Hermann*, Wolfram Burgard
NEW: What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data
Workshop on Overlooked Aspects of Imitation Learning: Systems, Data, Tasks, and Beyond at RSS, 2022 >
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Jessica Borja-Diaz*, Oier Mees*, Gabriel Kalweit, Lukas Hermann, Joschka Boedecker, Wolfram Burgard
Affordance Learning from Play for Sample-Efficient Policy Learning
Workshop on Robot Learning: Self-Supervised and Lifelong Learning at NeurIPS, 2021
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Iman Nematollahi, Oier Mees, Lukas Hermann, Wolfram Burgard
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction
Workshop on Machine Learning in Planning and Control of Robot Motion at IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020
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