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Jan’s research is about transferring Multi-Agent control policies trained in simulation to the real world (sim-to-real transfer), using Multi-Agent Reinforcement Learning and Graph Neural Networks. He is also interested in interpretability, resilience and robustness of such control policies, particularly in the context of real-world systems.
Publications
- DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems ICRA 2025 2025
- Language-Conditioned Offline RL for Multi-Robot Navigation ICRA 2025 2025
- CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications CoRL 2024 2024
- The Cambridge RoboMaster: An Agile Multi-Robot Research Platform DARS 2024 2024