Fetching the paper…
Reading the bibliography…
Scaling real robot data is a key bottleneck in imitation learning, leading to the use of auxiliary data for policy training.
Deep domain confusion: Maximizing for domain invariance
Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, and Trevor Darrell · 2014
Earlier work this paper cites.
Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
Earlier work this paper cites.
One-shot visual imitation learning via meta-learning
Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, and Sergey Levine · 2017
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
Earlier work this paper cites.
Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
Earlier work this paper cites.
Adversarial discriminative domain adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell · 2017
Earlier work this paper cites.
Charuco board-based omnidirectional camera calibration method
Gwon Hwan An, Siyeong Lee, Min-Woo Seo, Kugjin Yun, Won-Sik Cheong, and Suk-Ju Kang · 2018
Earlier work this paper cites.
Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Evangelos Kazakos, Jian Ma, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, et al · 2022
Earlier work this paper cites.
The franka emika robot: A reference platform for robotics research and education
Sami Haddadin, Sven Parusel, Lars Johannsmeier, Saskia Golz, Simon Gabl, Florian Walch, Mohamadreza Sabaghian, Christoph Jähne, Lukas Hausperger, and Simon Haddadin · 2022
Earlier work this paper cites.
Hoi4d: A 4d egocentric dataset for category-level human-object interaction
Yunze Liu, Yun Liu, Che Jiang, Kangbo Lyu, Weikang Wan, Hao Shen, Boqiang Liang, Zhoujie Fu, He Wang, and Li Yi · 2022
Earlier work this paper cites.
R3m: A universal visual representation for robot manipulation
Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, and Abhinav Gupta · 2022
Earlier work this paper cites.
Affordances from human videos as a versatile representation for robotics
Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, and Deepak Pathak · 2023
Earlier work this paper cites.
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
Earlier work this paper cites.
Project aria: A new tool for egocentric multi-modal ai research
Jakob Engel, Kiran Somasundaram, Michael Goesele, Albert Sun, Alexander Gamino, Andrew Turner, Arjang Talattof, Arnie Yuan, Bilal Souti, Brighid Meredith, et al · 2023
Earlier work this paper cites.
Language-driven representation learning for robotics
Siddharth Karamcheti, Suraj Nair, Annie S Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, and Percy Liang · 2023
Earlier work this paper cites.
Where are we in the search for an artificial visual cortex for embodied intelligence?
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, et al · 2023
Earlier work this paper cites.
Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
Earlier work this paper cites.
Anyteleop: A general vision-based dexterous robot arm-hand teleoperation system
Yuzhe Qin, Wei Yang, Binghao Huang, Karl Van Wyk, Hao Su, Xiaolong Wang, Yu-Wei Chao, and Dieter Fox · 2023
Earlier work this paper cites.
Any-point trajectory modeling for policy learning
Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, and Pieter Abbeel · 2023
Earlier work this paper cites.
Foundation reinforcement learning: towards embodied generalist agents with foundation prior assistance
Weirui Ye, Yunsheng Zhang, Mengchen Wang, Shengjie Wang, Xianfan Gu, Pieter Abbeel, and Yang Gao · 2023
Earlier work this paper cites.
Rt-2: Vision-language-action models transfer web knowledge to robotic control
Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, et al · 2023
Earlier work this paper cites.
Gen2act: Human video generation in novel scenarios enables generalizable robot manipulation
Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, and Sean Kirmani · 2024
Earlier work this paper cites.
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
Cited alongside, same era.
Sirui Chen, Chen Wang, Kaden Nguyen, Li Fei-Fei, and C Karen Liu · 2024
Cited alongside, same era.
Open-television: Teleoperation with immersive active visual feedback
Xuxin Cheng, Jialong Li, Shiqi Yang, Ge Yang, and Xiaolong Wang · 2024
Cited alongside, same era.
Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots
Cheng Chi, Zhenjia Xu, Chuer Pan, Eric Cousineau, Benjamin Burchfiel, Siyuan Feng, Russ Tedrake, and Shuran Song · 2024
Cited alongside, same era.
Egodex: Learning dexterous manipulation from large-scale egocentric video
Ryan Hoque, Peide Huang, David J Yoon, Mouli Sivapurapu, and Jian Zhang · 2025
Closest in time.
pi_0.5: a vision-language-action model with open-world generalization
Physical Intelligence, Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, et al · 2025
Closest in time.
Robobrain: A unified brain model for robotic manipulation from abstract to concrete
Yuheng Ji, Huajie Tan, Jiayu Shi, Xiaoshuai Hao, Yuan Zhang, Hengyuan Zhang, Pengwei Wang, Mengdi Zhao, Yao Mu, Pengju An, et al · 2025
Closest in time.
Uniskill: Imitating human videos via cross-embodiment skill representations
Hanjung Kim, Jaehyun Kang, Hyolim Kang, Meedeum Cho, Seon Joo Kim, and Youngwoon Lee · 2025
Closest in time.
H2r: A human-to-robot data augmentation for robot pre-training from videos
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cheng-Chun Hsu, Bowen Wen, Jie Xu, Yashraj Narang, Xiaolong Wang, Yuke Zhu, Joydeep Biswas, and Stan Birchfield · 2024
Cited alongside, same era.
Aaron Hurst, Adam Lerer, Adam P Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, et al · 2024
Cited alongside, same era.
Vid2robot: End-to-end video-conditioned policy learning with cross-attention transformers
Vidhi Jain, Maria Attarian, Nikhil J Joshi, Ayzaan Wahid, Danny Driess, Quan Vuong, Pannag R Sanketi, Pierre Sermanet, Stefan Welker, Christine Chan, et al · 2024
Cited alongside, same era.
Egomimic: Scaling imitation learning via egocentric video
Simar Kareer, Dhruv Patel, Ryan Punamiya, Pranay Mathur, Shuo Cheng, Chen Wang, Judy Hoffman, and Danfei Xu · 2024
Cited alongside, same era.
Droid: A large-scale in-the-wild robot manipulation dataset
Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, et al · 2024
Cited alongside, same era.
Ram: Retrieval-based affordance transfer for generalizable zero-shot robotic manipulation
Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas Guibas, He Wang, and Yue Wang · 2024
Cited alongside, same era.
Data scaling laws in imitation learning for robotic manipulation
Fanqi Lin, Yingdong Hu, Pingyue Sheng, Chuan Wen, Jiacheng You, and Yang Gao · 2024
Cited alongside, same era.
Mobile-television: Predictive motion priors for humanoid whole-body control
Chenhao Lu, Xuxin Cheng, Jialong Li, Shiqi Yang, Mazeyu Ji, Chengjing Yuan, Ge Yang, Sha Yi, and Xiaolong Wang · 2024
Cited alongside, same era.
Guangrun Li, Yaoxu Lyu, Zhuoyang Liu, Chengkai Hou, Jieyu Zhang, and Shanghang Zhang · 2025
Closest in time.
Onetwovla: A unified vision-language-action model with adaptive reasoning
Fanqi Lin, Ruiqian Nai, Yingdong Hu, Jiacheng You, Junming Zhao, and Yang Gao · 2025
Closest in time.
Being-h0: Vision-language-action pretraining from large-scale human videos
Hao Luo, Yicheng Feng, Wanpeng Zhang, Sipeng Zheng, Ye Wang, Haoqi Yuan, Jiazheng Liu, Chaoyi Xu, Qin Jin, and Zongqing Lu · 2025
Closest in time.
Human2locoman: Learning versatile quadrupedal manipulation with human pretraining
Yaru Niu, Yunzhe Zhang, Mingyang Yu, Changyi Lin, Chenhao Li, Yikai Wang, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Zhenzhen Li, et al · 2025
Closest in time.
Demodiffusion: One-shot human imitation using pre-trained diffusion policy
Sungjae Park, Homanga Bharadhwaj, and Shubham Tulsiani · 2025
Closest in time.
Robotic manipulation by imitating generated videos without physical demonstrations
Shivansh Patel, Shraddhaa Mohan, Hanlin Mai, Unnat Jain, Svetlana Lazebnik, and Yunzhu Li · 2025
Closest in time.
Fast: Efficient action tokenization for vision-language-action models
Karl Pertsch, Kyle Stachowicz, Brian Ichter, Danny Driess, Suraj Nair, Quan Vuong, Oier Mees, Chelsea Finn, and Sergey Levine · 2025
Closest in time.
Ri-Zhao Qiu, Shiqi Yang, Xuxin Cheng, Chaitanya Chawla, Jialong Li, Tairan He, Ge Yan, David J Yoon, Ryan Hoque, Lars Paulsen, et al · 2025
Closest in time.
Motion tracks: A unified representation for human-robot transfer in few-shot imitation learning
Juntao Ren, Priya Sundaresan, Dorsa Sadigh, Sanjiban Choudhury, and Jeannette Bohg · 2025
Closest in time.
Functo: Function-centric one-shot imitation learning for tool manipulation
Chao Tang, Anxing Xiao, Yuhong Deng, Tianrun Hu, Wenlong Dong, Hanbo Zhang, David Hsu, and Hong Zhang · 2025
Closest in time.
Dexwild: Dexterous human interactions for in-the-wild robot policies
Tony Tao, Mohan Kumar Srirama, Jason Jingzhou Liu, Kenneth Shaw, and Deepak Pathak · 2025
Closest in time.
Skil: Semantic keypoint imitation learning for generalizable data-efficient manipulation
Shengjie Wang, Jiacheng You, Yihang Hu, Jiongye Li, and Yang Gao · 2025
Closest in time.
Empirical analysis of sim-and-real cotraining of diffusion policies for planar pushing from pixels
Adam Wei, Abhinav Agarwal, Boyuan Chen, Rohan Bosworth, Nicholas Pfaff, and Russ Tedrake · 2025
Closest in time.
Dexumi: Using human hand as the universal manipulation interface for dexterous manipulation
Mengda Xu, Han Zhang, Yifan Hou, Zhenjia Xu, Linxi Fan, Manuela Veloso, and Shuran Song · 2025
Closest in time.
Egovla: Learning vision-language-action models from egocentric human videos
Ruihan Yang, Qinxi Yu, Yecheng Wu, Rui Yan, Borui Li, An-Chieh Cheng, Xueyan Zou, Yunhao Fang, Hongxu Yin, Sifei Liu, et al · 2025
Closest in time.
Chengbo Yuan, Suraj Joshi, Shaoting Zhu, Hang Su, Hang Zhao, and Yang Gao · 2025
Closest in time.
Learning generalizable robot policy with human demonstration video as a prompt
Xiang Zhu, Yichen Liu, Hezhong Li, and Jianyu Chen · 2025
Closest in time.