| Visual Language Maps for Robot Navigation C Huang, O Mees, A Zeng, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2023 | 261 | 2023 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... IEEE International Conference on Robotics and Automation (ICRA), 2024 | 218* | 2024 |
| CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks O Mees, L Hermann, E Rosete-Beas, W Burgard IEEE Robotics and Automation Letters 7 (3), 7327-7334, 2022 | 149 | 2022 |
| Choosing smartly: Adaptive multimodal fusion for object detection in changing environments O Mees, A Eitel, W Burgard 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 136 | 2016 |
| What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data O Mees, L Hermann, W Burgard IEEE Robotics and Automation Letters 7 (4), 11205-11212, 2022 | 103 | 2022 |
| Octo: An open-source generalist robot policy OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ... Proceedings of Robotics: Science and Systems, Delft, Netherlands, 2023 | 97* | 2023 |
| Learning to singulate objects using a push proposal network A Eitel, N Hauff, W Burgard arXiv preprint arXiv:1707.08101, 2017 | 89 | 2017 |
| Grounding language with visual affordances over unstructured data O Mees, J Borja-Diaz, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2023 | 79 | 2023 |
| Latent Plans for Task-Agnostic Offline Reinforcement Learning E Rosete-Beas, O Mees, G Kalweit, J Boedecker, W Burgard Conference on Robot Learning (CoRL), 2022 | 61 | 2022 |
| Affordance Learning from Play for Sample-Efficient Policy Learning J Borja-Diaz, O Mees, G Kalweit, L Hermann, J Boedecker, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2022 | 33 | 2022 |
| Composing Pick-and-Place Tasks By Grounding Language O Mees, W Burgard International Symposium on Experimental Robotics (ISER), 2021 | 32 | 2021 |
| Metric Learning for Generalizing Spatial Relations to New Objects O Mees, N Abdo, M Mazuran, W Burgard 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 | 31 | 2017 |
| Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video O Mees, M Merklinger, G Kalweit, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2020 | 30 | 2020 |
| Audio visual language maps for robot navigation C Huang, O Mees, A Zeng, W Burgard International Symposium on Experimental Robotics, 105-117, 2023 | 28 | 2023 |
| Learning Object Placements For Relational Instructions by Hallucinating Scene Representations O Mees, A Emek, J Vertens, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2020 | 23 | 2020 |
| Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics O Mees, M Tatarchenko, T Brox, W Burgard 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 21 | 2019 |
| Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction I Nematollahi, O Mees, L Hermann, W Burgard 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 20 | 2020 |
| Perspectives on Deep Multimodel Robot Learning W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ... Proceedings of the International Symposium on Robotics Research (ISRR), 2017 | 11 | 2017 |
| Evaluating Real-World Robot Manipulation Policies in Simulation X Li, K Hsu, J Gu, K Pertsch, O Mees, HR Walke, C Fu, I Lunawat, I Sieh, ... arXiv preprint arXiv:2405.05941, 2024 | 6 | 2024 |
| Vision-language models provide promptable representations for reinforcement learning W Chen, O Mees, A Kumar, S Levine arXiv preprint arXiv:2402.02651, 2024 | 6 | 2024 |
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergEmail verificata su utn.de
