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Mobile manipulation is the fundamental challenge for robotics to assist humans with diverse tasks and environments in everyday life.
A compositional object-based approach to learning physical dynamics
Michael B Chang, Tomer Ullman, Antonio Torralba, and Joshua B Tenenbaum · 2016
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An introduction to trajectory optimization: How to do your own direct collocation
Matthew Kelly · 2017
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Robot learning in homes: Improving generalization and reducing dataset bias
Abhinav Gupta, Adithyavairavan Murali, Dhiraj Prakashchand Gandhi, and Lerrel Pinto · 2018
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Learning-based model predictive control: Toward safe learning in control
Lukas Hewing, Kim P Wabersich, Marcel Menner, and Melanie N Zeilinger · 2020
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Object rearrangement using learned implicit collision functions
Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, and Dieter Fox · 2021
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Mobile manipulator for autonomous localization, grasping and precise placement of construction material in a semi-structured environment
Petr Štibinger, George Broughton, Filip Majer, Zdeněk Rozsypálek, Anthony Wang, Kshitij Jindal, Alex Zhou, Dinesh Thakur, Giuseppe Loianno, Tomáš Krajník, et al · 2021
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Contact-graspnet: Efficient 6-dof grasp generation in cluttered scenes
Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, and Dieter Fox · 2021
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Rt-1: Robotics transformer for real-world control at scale
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Jasmine Hsu, et al · 2022
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Multi-skill mobile manipulation for object rearrangement
Jiayuan Gu, Devendra Singh Chaplot, Hao Su, and Jitendra Malik · 2022
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The design of stretch: A compact, lightweight mobile manipulator for indoor human environments
Charles C Kemp, Aaron Edsinger, Henry M Clever, and Blaine Matulevich · 2022
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O2o-afford: Annotation-free large-scale object-object affordance learning
Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, and Leonidas Guibas · 2022
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Diffusion policy: Visuomotor policy learning via action diffusion
Cheng Chi, Zhenjia Xu, Siyuan Feng, Eric Cousineau, Yilun Du, Benjamin Burchfiel, Russ Tedrake, and Shuran Song · 2023
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Anygrasp: Robust and efficient grasp perception in spatial and temporal domains
Hao-Shu Fang, Chenxi Wang, Hongjie Fang, Minghao Gou, Jirong Liu, Hengxu Yan, Wenhai Liu, Yichen Xie, and Cewu Lu · 2023
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Vision-language foundation models as effective robot imitators
Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, et al · 2023
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Open x-embodiment: Robotic learning datasets and rt-x models
Abby O’Neill, Abdul Rehman, Abhinav Gupta, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, et al · 2023
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Ruihan Yang, Yejin Kim, Rose Hendrix, Aniruddha Kembhavi, Xiaolong Wang, and Kiana Ehsani · 2023
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Manipllm: Embodied multimodal large language model for object-centric robotic manipulation
Xiaoqi Li, Mingxu Zhang, Yiran Geng, Haoran Geng, Yuxing Long, Yan Shen, Renrui Zhang, Jiaming Liu, and Hao Dong · 2024
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Continuously improving mobile manipulation with autonomous real-world rl
Russell Mendonca, Emmanuel Panov, Bernadette Bucher, Jiuguang Wang, and Deepak Pathak · 2024
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nvblox: Gpu-accelerated incremental signed distance field mapping
Alexander Millane, Helen Oleynikova, Emilie Wirbel, Remo Steiner, Vikram Ramasamy, David Tingdahl, and Roland Siegwart · 2024
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Yanlong Peng, Zhigang Wang, Yisheng Zhang, Shengmin Zhang, Nan Cai, Fan Wu, and Ming Chen · 2024
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Learning generalizable feature fields for mobile manipulation
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Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin Wang, Mukul Khanna, Theophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John Turner, et al · 2023
Cited alongside, same era.
Asc: Adaptive skill coordination for robotic mobile manipulation
Naoki Yokoyama, Alex Clegg, Joanne Truong, Eric Undersander, Tsung-Yen Yang, Sergio Arnaud, Sehoon Ha, Dhruv Batra, and Akshara Rai · 2023
Cited alongside, same era.
Gnfactor: Multi-task real robot learning with generalizable neural feature fields
Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, and Xiaolong Wang · 2023
Cited alongside, same era.
π 0 \pi_{0} : A vision-language-action flow model for general robot control
Kevin Black, Noah Brown, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, Lachy Groom, Karol Hausman, Brian Ichter, et al · 2024
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Find everything: A general vision language model approach to multi-object search
Daniel Choi, Angus Fung, Haitong Wang, and Aaron Hao Tan · 2024
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Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation
Zipeng Fu, Tony Z Zhao, and Chelsea Finn · 2024
Cited alongside, same era.
Rekep: Spatio-temporal reasoning of relational keypoint constraints for robotic manipulation
Wenlong Huang, Chen Wang, Yunzhu Li, Ruohan Zhang, and Li Fei-Fei · 2024
Cited alongside, same era.
Openvla: An open-source vision-language-action model
Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Foster, Grace Lam, Pannag Sanketi, et al · 2024
Cited alongside, same era.
Ri-Zhao Qiu, Yafei Hu, Ge Yang, Yuchen Song, Yang Fu, Jianglong Ye, Jiteng Mu, Ruihan Yang, Nikolay Atanasov, Sebastian Scherer, et al · 2024
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Grounded sam: Assembling open-world models for diverse visual tasks
Tianhe Ren, Shilong Liu, Ailing Zeng, Jing Lin, Kunchang Li, He Cao, Jiayu Chen, Xinyu Huang, Yukang Chen, Feng Yan, et al · 2024
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Spin: Simultaneous perception interaction and navigation
Shagun Uppal, Ananye Agarwal, Haoyu Xiong, Kenneth Shaw, and Deepak Pathak · 2024
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Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation
Junjie Wen, Yichen Zhu, Jinming Li, Minjie Zhu, Kun Wu, Zhiyuan Xu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, et al · 2024
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Robi butler: Remote multimodal interactions with household robot assistant
Anxing Xiao, Nuwan Janaka, Tianrun Hu, Anshul Gupta, Kaixin Li, Cunjun Yu, and David Hsu · 2024
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Adaptive mobile manipulation for articulated objects in the open world
Haoyu Xiong, Russell Mendonca, Kenneth Shaw, and Deepak Pathak · 2024
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M2diffuser: Diffusion-based trajectory optimization for mobile manipulation in 3d scenes
Sixu Yan, Zeyu Zhang, Muzhi Han, Zaijin Wang, Qi Xie, Zhitian Li, Zhehan Li, Hangxin Liu, Xinggang Wang, and Song-Chun Zhu · 2024
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Sg-nav: Online 3d scene graph prompting for llm-based zero-shot object navigation
Hang Yin, Xiuwei Xu, Zhenyu Wu, Jie Zhou, and Jiwen Lu · 2024
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