Contact
Dr.-Ing. Jens Kober
Associate Professor, Cognitive Robotics department (CoR)
Delft University of Technology (TU Delft)
Mekelweg 2 (ME Building)
2628 CD Delft, The Netherlands
🖂 j.kober (at) tudelft.nl
🕿 +31 (0)15 27 85150
Office: F-2-080
https://www.linkedin.com/in/jens-kober/
Research interests
Robotics, Motor Skill Learning, Machine Learning, Reinforcement Learning, Imitation Learning, Deep Learning, Interactive Learning
News
- 1 accepted journal paper:
. REX: GPU-Accelerated Sim2Real Framework with Delay and Dynamics Estimation. Transactions on Machine Learning Research, 2025. Accepted.
- 1 new preprint:
. Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models. TechRxiv, 2025. [bibtex] [pdf] [doi]
- Jens Kober is co-organizing an IEEE RAM Special Issue on Embodied AI: Bridging Robotics and Artificial Intelligence Toward Real-World Applications
- 4 new preprints:
. ILeSiA: Interactive Learning of Situational Awareness from Camera Input. arXiv:2409.20173 [cs.RO], 2024. [bibtex] [pdf] [webpage] [doi] [code] [video]
. Task-unaware Lifelong Robot Learning with Retrieval-based Weighted Local Adaptation. arXiv:2410.02995 [cs.RO], 2024. [bibtex] [pdf] [doi]
. Mastering Contact-rich Tasks by Combining Soft and Rigid Robotics with Imitation Learning. arXiv:2410.07787 [cs.RO], 2024. [bibtex] [pdf] [doi]
. Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions. arXiv:2410.00490 [cs.RO], 2024. [bibtex] [pdf] [doi]
- Accepted CoRL Demo: A Hybrid Soft-Rigid Robotic Platform Showcasing Learning of Generalizable Skills from Demonstration - Mariano Ramírez Montero, Ebrahim Shahabi, Giovanni Franzese, Jens Kober, Barbara Mazzolai, Cosimo Della Santina
- 1 new preprint:
. Leveraging LLMs, Graphs and Object Hierarchies for Task Planning in Large-Scale Environments. arXiv:2409.04775 [cs.RO], 2024. [bibtex] [pdf] [doi] [video]
- Outstanding Paper Award Empirical Resourcefulness in RL:
. An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. Reinforcement Learning Journal, 1(1), 2024. Reinforcement Learning Conference (RLC). [bibtex] [pdf] [html] [code] [video]
- 2 accepted journal papers:
. PUMA: Deep Metric Imitation Learning for Stable Motion Primitives. Advanced Intelligent Systems, 6(11):2400144, 2024. [bibtex] [file] [doi] [code] [video]
. Engine Agnostic Graph Environments for Robotics (EAGERx): A Graph-Based Framework for Sim2real Robot Learning. IEEE Robotics & Automation Magazine, :2–15, 2024. Early Access. [bibtex] [pdf] [webpage] [doi] [code] [video]
- 4 accepted conference papers:
. Demonstrating Adaptive Mobile Manipulation in Retail Environments. In Robotics: Science and Systems (R:SS), 2024. [bibtex] [pdf] [html] [doi]
. Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2832–2839, 2024. [bibtex] [pdf] [doi]
. An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. Reinforcement Learning Journal, 1(1), 2024. Reinforcement Learning Conference (RLC). [bibtex] [pdf] [html] [code] [video]
- 3 accepted journal papers:
. Simultaneously Learning Intentions and Preferences during Physical Human-Robot Cooperation. Autonomous Robots, 48(4):11, 2024. [bibtex] [pdf] [doi] [code] [video]
. RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions. IEEE Transactions on Intelligent Vehicles, :1–16, 2024. Early Access. [bibtex] [pdf] [doi]
. Quadrupedal Locomotion with Parallel Compliance: E-Go Design, Modelling and Control. IEEE/ASME Transactions on Mechatronics, 29(4):2839–2848, 2024. [bibtex] [pdf] [doi] [video]