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Oier Mees
Oier Mees
Verified email at informatik.uni-freiburg.de - Homepage
Title
Cited by
Cited by
Year
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
1012016
Learning to singulate objects using a push proposal network
A Eitel, N Hauff, W Burgard
arXiv preprint arXiv:1707.08101, 2017
682017
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
242017
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
212020
Composing Pick-and-Place Tasks By Grounding Language
O Mees, W Burgard
International Symposium on Experimental Robotics (ISER), 2021
162021
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
142022
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
142020
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
142019
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
102020
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
72022
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
72017
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
4*2022
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
2022
Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
O Mees, W Burgard
RSS Pioneers at Robotics: Science and Systems (RSS), 2022
2022
Adaptive Sensor Fusion for RGB-D Object Detection
O Mees, A Eitel, W Burgard
Deutsche Gesellschaft für Robotik - Tage 2016, 2016
2016
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Articles 1–15