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Zitiert von
Jahr
Visual Language Maps for Robot Navigation
C Huang, O Mees, A Zeng, W Burgard
IEEE International Conference on Robotics and Automation (ICRA), 2023
1882023
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
1322016
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
1082022
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
97*2023
Learning to singulate objects using a push proposal network
A Eitel, N Hauff, W Burgard
arXiv preprint arXiv:1707.08101, 2017
862017
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
812022
Grounding language with visual affordances over unstructured data
O Mees, J Borja-Diaz, W Burgard
IEEE International Conference on Robotics and Automation (ICRA), 2023
592023
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
442022
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
312017
Composing Pick-and-Place Tasks By Grounding Language
O Mees, W Burgard
International Symposium on Experimental Robotics (ISER), 2021
292021
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
292020
Octo: An open-source generalist robot policy
OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ...
arXiv preprint arXiv:2405.12213, 2024
282024
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
272022
Audio visual language maps for robot navigation
C Huang, O Mees, A Zeng, W Burgard
arXiv preprint arXiv:2303.07522, 2023
232023
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
232020
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
192020
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
192019
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
102017
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
W Chen, O Mees, A Kumar, S Levine
arXiv preprint arXiv:2402.02651, 2024
12024
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
2024
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