Oier Mees

According to our database, Oier Mees authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Vision-Language Models Provide Promptable Representations for Reinforcement Learning.

William Chen, Oier Mees, Aviral Kumar, Sergey Levine

CoRR, 2024

2023

Interactive language instructable robot learning

Oier Mees

PhD thesis, 2023

Audio Visual Language Maps for Robot Navigation.

Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard

CoRR, 2023

Grounding Language with Visual Affordances over Unstructured Data.

Oier Mees, Jessica Borja-Diaz, Wolfram Burgard

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Visual Language Maps for Robot Navigation.

Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks.

Oier Mees, Lukás Hermann, Erick Rosete-Beas, Wolfram Burgard

IEEE Robotics Autom. Lett., 2022

What Matters in Language Conditioned Robotic Imitation Learning Over Unstructured Data.

Oier Mees, Lukás Hermann, Wolfram Burgard

IEEE Robotics Autom. Lett., 2022

What Matters in Language Conditioned Robotic Imitation Learning.

Oier Mees, Lukás Hermann, Wolfram Burgard

CoRR, 2022

Affordance Learning from Play for Sample-Efficient Policy Learning.

Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Latent Plans for Task-Agnostic Offline Reinforcement Learning.

Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard

Proceedings of the Conference on Robot Learning, 2022

2020

Composing Pick-and-Place Tasks by Grounding Language.

Oier Mees, Wolfram Burgard

Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction.

Iman Nematollahi, Oier Mees, Lukás Hermann, Wolfram Burgard

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video.

Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning Object Placements For Relational Instructions by Hallucinating Scene Representations.

Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics.

Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2017

Perspectives on Deep Multimodel Robot Learning.

Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel, Gabriel L. Oliveira

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Metric learning for generalizing spatial relations to new objects.

Oier Mees, Nichola Abdo, Mladen Mazuran, Wolfram Burgard

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Choosing smartly: Adaptive multimodal fusion for object detection in changing environments.

Oier Mees, Andreas Eitel, Wolfram Burgard

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016