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Eye-in-hand cameras have shown promise in enabling greater sample efficiency and generalization in vision-based robotic manipulation.
Recognizing teleoperated manipulations
P. Pook and D. Ballard · 1993
Earlier work this paper cites.
A robot controller using learning by imitation
G. M. Hayes and J. Demiris · 1994
Earlier work this paper cites.
A framework for behavioural cloning
M. Bain and C. Sammut · 1995
Earlier work this paper cites.
Robot learning from demonstration
C. G. Atkeson and S. Schaal · 1997
Earlier work this paper cites.
Programing by demonstration: Coping with suboptimal teaching actions
J. Chen and A. Zelinsky · 2003
Earlier work this paper cites.
Skill acquisition and use for a dynamically-balancing soccer robot
B. Browning, L. Xu, and M. M. Veloso · 2004
Earlier work this paper cites.
Inverted autonomous helicopter flight via reinforcement learning
A. Ng, A. Coates, M. Diel, V. Ganapathi, J. Schulte, B. Tse, and E. Berger · 2004
Earlier work this paper cites.
Discriminative and adaptive imitation in uni-manual and bi-manual tasks
A. G. Billard, S. Calinon, and F. Guenter · 2006
Earlier work this paper cites.
A model of shared grasp affordances from demonstration
J. D. Sweeney and R. Grupen · 2007
Earlier work this paper cites.
A survey of robot learning from demonstration
B. D. Argall, S. Chernova, M. Veloso, and B. Browning · 2009
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
Earlier work this paper cites.
Robot learning manipulation action plans by ”watching” unconstrained videos from the world wide web
Y. Yang, Y. Li, C. Fermuller, and Y. Aloimonos · 2015
Earlier work this paper cites.
Unsupervised perceptual rewards for imitation learning
P. Sermanet, K. Xu, and S. Levine · 2016
Earlier work this paper cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
Earlier work this paper cites.
Transferring skills to humanoid robots by extracting semantic representations from observations of human activities
K. Ramirez-Amaro, M. Beetz, and G. Cheng · 2017
Earlier work this paper cites.
Combining self-supervised learning and imitation for vision-based rope manipulation
A. Nair, D. Chen, P. Agrawal, P. Isola, P. Abbeel, J. Malik, and S. Levine · 2017
Earlier work this paper cites.
Roboturk: A crowdsourcing platform for robotic skill learning through imitation
A. Mandlekar, Y. Zhu, A. Garg, J. Booher, M. Spero, A. Tung, J. Gao, J. Emmons, A. Gupta, E. Orbay, et al · 2018
Earlier work this paper cites.
Deep imitation learning for complex manipulation tasks from virtual reality teleoperation
T. Zhang, Z. McCarthy, O. Jow, D. Lee, X. Chen, K. Goldberg, and P. Abbeel · 2018
Earlier work this paper cites.
An algorithmic perspective on imitation learning
T. Osa, J. Pajarinen, G. Neumann, J. A. Bagnell, P. Abbeel, J. Peters, et al · 2018
Earlier work this paper cites.
Imitation from observation: Learning to imitate behaviors from raw video via context translation
Y. Liu, A. Gupta, P. Abbeel, and S. Levine · 2018
Earlier work this paper cites.
Translating videos to commands for robotic manipulation with deep recurrent neural networks
A. Nguyen, D. Kanoulas, L. Muratore, D. G. Caldwell, and N. G. Tsagarakis · 2018
Cited alongside, same era.
Time-contrastive networks: Self-supervised learning from video
P. Sermanet, C. Lynch, Y. Chebotar, J. Hsu, E. Jang, S. Schaal, S. Levine, and G. Brain · 2018
Cited alongside, same era.
One-shot imitation from observing humans via domain-adaptive meta-learning
T. Yu, C. Finn, A. Xie, S. Dasari, T. Zhang, P. Abbeel, and S. Levine · 2018
Cited alongside, same era.
Avid: Learning multi-stage tasks via pixel-level translation of human videos
L. Smith, N. Dhawan, M. Zhang, P. Abbeel, and S. Levine · 2019
Cited alongside, same era.
Third-person visual imitation learning via decoupled hierarchical controller
P. Sharma, D. Pathak, and A. Gupta · 2019
Cited alongside, same era.
Learning generalizable robotic reward functions from” in-the-wild” human videos
A. S. Chen, S. Nair, and C. Finn · 2021
Later among the works it cites.
Manipulator-independent representations for visual imitation
Y. Zhou, Y. Aytar, and K. Bousmalis · 2021
Later among the works it cites.
Dexmv: Imitation learning for dexterous manipulation from human videos
Y. Qin, Y.-H. Wu, S. Liu, H. Jiang, R. Yang, Y. Fu, and X. Wang · 2021
Later among the works it cites.
Vision-based manipulators need to also see from their hands
K. Hsu, M. J. Kim, R. Rafailov, J. Wu, and C. Finn · 2022
Later among the works it cites.
Look closer: Bridging egocentric and third-person views with transformers for robotic manipulation
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Learning actions from human demonstration video for robotic manipulation
S. Yang, W. Zhang, W. Lu, H. Wang, and Y. Li · 2019
Cited alongside, same era.
Learning robotic manipulation through visual planning and acting
A. Wang, T. Kurutach, K. Liu, P. Abbeel, and A. Tamar · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga, et al · 2019
Cited alongside, same era.
Never stop learning: The effectiveness of fine-tuning in robotic reinforcement learning
R. Julian, B. Swanson, G. S. Sukhatme, S. Levine, C. Finn, and K. Hausman · 2020
Cited alongside, same era.
Model-based inverse reinforcement learning from visual demonstrations
N. Das, S. Bechtle, T. Davchev, D. Jayaraman, A. Rai, and F. Meier · 2020
Cited alongside, same era.
Adversarial skill networks: Unsupervised robot skill learning from video
O. Mees, M. Merklinger, G. Kalweit, and W. Burgard · 2020
Cited alongside, same era.
Reinforcement learning with videos: Combining offline observations with interaction
K. Schmeckpeper, O. Rybkin, K. Daniilidis, S. Levine, and C. Finn · 2020
Cited alongside, same era.
R. Jangir, N. Hansen, S. Ghosal, M. Jain, and X. Wang · 2022
Later among the works it cites.
Rt-1: Robotics transformer for real-world control at scale
A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, J. Dabis, C. Finn, K. Gopalakrishnan, K. Hausman, A. Herzog, J. Hsu, et al · 2022
Later among the works it cites.
Bc-z: Zero-shot task generalization with robotic imitation learning
E. Jang, A. Irpan, M. Khansari, D. Kappler, F. Ebert, C. Lynch, S. Levine, and C. Finn · 2022
Later among the works it cites.
S. Reed, K. Zolna, E. Parisotto, S. G. Colmenarejo, A. Novikov, G. Barth-Maron, M. Gimenez, Y. Sulsky, J. Kay, J. T. Springenberg, et al · 2022
Later among the works it cites.
Human-to-robot imitation in the wild
S. Bahl, A. Gupta, and D. Pathak · 2022
Later among the works it cites.
Graph inverse reinforcement learning from diverse videos
S. Kumar, J. Zamora, N. Hansen, R. Jangir, and X. Wang · 2022
Later among the works it cites.
Learning fabric manipulation in the real world with human videos
R. Lee, J. Abou-Chakra, F. Zhang, and P. Corke · 2022
Later among the works it cites.
Neural descriptor fields: Se (3)-equivariant object representations for manipulation
A. Simeonov, Y. Du, A. Tagliasacchi, J. B. Tenenbaum, A. Rodriguez, P. Agrawal, and V. Sitzmann · 2022
Later among the works it cites.
You only demonstrate once: Category-level manipulation from single visual demonstration
B. Wen, W. Lian, K. Bekris, and S. Schaal · 2022
Later among the works it cites.
Learning reward functions for robotic manipulation by observing humans
M. Alakuijala, G. Dulac-Arnold, J. Mairal, J. Ponce, and C. Schmid · 2022
Later among the works it cites.
R3m: A universal visual representation for robot manipulation
S. Nair, A. Rajeswaran, V. Kumar, C. Finn, and A. Gupta · 2022
Later among the works it cites.
Xirl: Cross-embodiment inverse reinforcement learning
K. Zakka, A. Zeng, P. Florence, J. Tompson, J. Bohg, and D. Dwibedi · 2022
Later among the works it cites.
Dexterous imitation made easy: A learning-based framework for efficient dexterous manipulation
S. P. Arunachalam, S. Silwal, B. Evans, and L. Pinto · 2022
Later among the works it cites.
Y. Qin, H. Su, and X. Wang · 2022
Later among the works it cites.
Robotic telekinesis: learning a robotic hand imitator by watching humans on youtube
A. Sivakumar, K. Shaw, and D. Pathak · 2022
Later among the works it cites.