Oier Mees

According to our database, Oier Mees authored at least 30 papers between 2016 and 2024.

Collaborative distances:

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

2024

GHIL-Glue: Hierarchical Control with Filtered Subgoal Images.

Kyle Beltran Hatch, Ashwin Balakrishna, Oier Mees, Suraj Nair, Seohong Park, Blake Wulfe, Masha Itkina, Benjamin Eysenbach, Sergey Levine, Thomas Kollar, Benjamin Burchfiel

CoRR, 2024

Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models.

Nils Blank, Moritz Reuss, Marcel Rühle, Ömer Erdinç Yagmurlu, Fabian Wenzel, Oier Mees, Rudolf Lioutikov

CoRR, 2024

Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance.

Mitsuhiko Nakamoto, Oier Mees, Aviral Kumar, Sergey Levine

CoRR, 2024

The Ingredients for Robotic Diffusion Transformers.

Sudeep Dasari, Oier Mees, Sebastian Zhao, Mohan Kumar Srirama, Sergey Levine

CoRR, 2024

LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Videos.

Noriaki Hirose, Catherine Glossop, Ajay Sridhar, Dhruv Shah, Oier Mees, Sergey Levine

CoRR, 2024

Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation.

Vivek Myers, Bill Chunyuan Zheng, Oier Mees, Sergey Levine, Kuan Fang

CoRR, 2024

Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation.

Ria Doshi, Homer Walke, Oier Mees, Sudeep Dasari, Sergey Levine

CoRR, 2024

Autonomous Improvement of Instruction Following Skills via Foundation Models.

Zhiyuan Zhou, Pranav Atreya, Abraham Lee, Homer Walke, Oier Mees, Sergey Levine

CoRR, 2024

Robotic Control via Embodied Chain-of-Thought Reasoning.

Michal Zawalski, William Chen, Karl Pertsch, Oier Mees, Chelsea Finn, Sergey Levine

CoRR, 2024

Octo: An Open-Source Generalist Robot Policy.

Octo Model Team, Dibya Ghosh, Homer Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Pannag Sanketi, Quan Vuong, Ted Xiao, Dorsa Sadigh, Chelsea Finn, Sergey Levine

CoRR, 2024

Evaluating Real-World Robot Manipulation Policies in Simulation.

Xuanlin Li, Kyle Hsu, Jiayuan Gu, Karl Pertsch, Oier Mees, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao

CoRR, 2024

Vision-Language Models Provide Promptable Representations for Reinforcement Learning.

William Chen, Oier Mees, Aviral Kumar, Sergey Levine

CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 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