| 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 | 137* | 2016 |
| Visual Language Maps for Robot Navigation C Huang, O Mees, A Zeng, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2023 | 83 | 2023 |
| Learning to singulate objects using a push proposal network A Eitel, N Hauff, W Burgard arXiv preprint arXiv:1707.08101, 2017 | 80 | 2017 |
| 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 | 70 | 2022 |
| 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 | 59 | 2022 |
| Grounding language with visual affordances over unstructured data O Mees, J Borja-Diaz, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2023 | 30 | 2023 |
| 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 | 30 | 2017 |
| Composing Pick-and-Place Tasks By Grounding Language O Mees, W Burgard International Symposium on Experimental Robotics (ISER), 2021 | 27 | 2021 |
| 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 | 25 | 2020 |
| 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 | 22 | 2022 |
| 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 | 22 | 2020 |
| 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 | 18 | 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 | 18 | 2019 |
| 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 | 16 | 2022 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 12 | 2023 |
| 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 | 10 | 2017 |
| Audio visual language maps for robot navigation C Huang, O Mees, A Zeng, W Burgard arXiv preprint arXiv:2303.07522, 2023 | 9 | 2023 |
| Vision-Language Models Provide Promptable Representations for Reinforcement Learning W Chen, O Mees, A Kumar, S Levine NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023 | | 2023 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ... 2nd Workshop on Language and Robot Learning: Language as Grounding, 2023 | | 2023 |
| Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks O Mees, W Burgard RSS Pioneers at Robotics: Science and Systems (RSS), 2022 | | 2022 |
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergVerified email at utn.de
