Fetching the paper…
Reading the bibliography…
The grand aim of having a single robot that can manipulate arbitrary objects in diverse settings is at odds with the paucity of robotics datasets.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Understanding natural language commands for robotic navigation and mobile manipulation
S. Tellex, T. Kollar, S. Dickerson, M. Walter, A. Banerjee, S. Teller, and N. Roy · 2011
Earlier work this paper cites.
Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2013
Earlier work this paper cites.
Mujoco haptix: A virtual reality system for hand manipulation
V. Kumar and E. Todorov · 2015
Earlier work this paper cites.
Learning to push by grasping: Using multiple tasks for effective learning
L. Pinto and A. Gupta · 2017
Earlier work this paper cites.
Domain randomization for transferring deep neural networks from simulation to the real world
J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, and P. Abbeel · 2017
Earlier work this paper cites.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Earlier work this paper cites.
Self-supervised visual planning with temporal skip connections
F. Ebert, C. Finn, A. X. Lee, 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.
Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation
D. Kalashnikov, A. Irpan, P. Pastor, J. Ibarz, A. Herzog, E. Jang, D. Quillen, E. Holly, M. Kalakrishnan, V. Vanhoucke, et al · 2018
Earlier work this paper cites.
Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures
L. Espeholt, H. Soyer, R. Munos, K. Simonyan, V. Mnih, T. Ward, Y. Doron, V. Firoiu, T. Harley, I. Dunning, et al · 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
Earlier work this paper cites.
Film: Visual reasoning with a general conditioning layer
E. Perez, F. Strub, H. De Vries, V. Dumoulin, and A. Courville · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
Earlier work this paper cites.
Improving data efficiency of self-supervised learning for robotic grasping
L. Berscheid, T. Rühr, and T. Kröger · 2019
Earlier work this paper cites.
Model-based reinforcement learning for atari
L. Kaiser, M. Babaeizadeh, P. Milos, B. Osinski, R. H. Campbell, K. Czechowski, D. Erhan, C. Finn, P. Kozakowski, S. Levine, et al · 2019
Earlier work this paper cites.
V-mpo: On-policy maximum a posteriori policy optimization for discrete and continuous control
H. F. Song, A. Abdolmaleki, J. T. Springenberg, A. Clark, H. Soyer, J. W. Rae, S. Noury, A. Ahuja, S. Liu, D. Tirumala, et al · 2019
Earlier work this paper cites.
Robonet: Large-scale multi-robot learning
S. Dasari, F. Ebert, S. Tian, S. Nair, B. Bucher, K. Schmeckpeper, S. Singh, S. Levine, and C. Finn · 2020
Earlier work this paper cites.
Learning latent plans from play
C. Lynch, M. Khansari, T. Xiao, V. Kumar, J. Tompson, S. Levine, and P. Sermanet · 2020
Earlier work this paper cites.
Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning
T. Yu, D. Quillen, Z. He, R. Julian, K. Hausman, C. Finn, and S. Levine · 2020
Earlier work this paper cites.
Rlbench: The robot learning benchmark & learning environment
S. James, Z. Ma, D. R. Arrojo, and A. J. Davison · 2020
Earlier work this paper cites.
robosuite: A modular simulation framework and benchmark for robot learning
Y. Zhu, J. Wong, A. Mandlekar, R. Martín-Martín, A. Joshi, S. Nasiriany, and Y. Zhu · 2020
Earlier work this paper cites.
Mastering atari, go, chess and shogi by planning with a learned model
J. Schrittwieser, I. Antonoglou, T. Hubert, K. Simonyan, L. Sifre, S. Schmitt, A. Guez, E. Lockhart, D. Hassabis, T. Graepel, et al · 2020
Earlier work this paper cites.
Gradient surgery for multi-task learning
T. Yu, S. Kumar, A. Gupta, S. Levine, K. Hausman, and C. Finn · 2020
Cited alongside, same era.
Language conditioned imitation learning over unstructured data
C. Lynch and P. Sermanet · 2020
Cited alongside, same era.
Language-conditioned imitation learning for robot manipulation tasks
S. Stepputtis, J. Campbell, M. Phielipp, S. Lee, C. Baral, and H. Ben Amor · 2020
Cited alongside, same era.
Rl-cyclegan: Reinforcement learning aware simulation-to-real
K. Rao, C. Harris, A. Irpan, S. Levine, J. Ibarz, and M. Khansari · 2020
Cited alongside, same era.
Mt-opt: Continuous multi-task robotic reinforcement learning at scale
D. Kalashnikov, J. Varley, Y. Chebotar, B. Swanson, R. Jonschkowski, C. Finn, S. Levine, and K. Hausman · 2021
Cited alongside, same era.
On pre-training for visuo-motor control: Revisiting a learning-from-scratch baseline
N. Hansen, Z. Yuan, Y. Ze, T. Mu, A. Rajeswaran, H. Su, H. Xu, and X. Wang · 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.
Dall-e-bot: Introducing web-scale diffusion models to robotics
I. Kapelyukh, V. Vosylius, and E. Johns · 2022
Later among the works it cites.
Simple open-vocabulary object detection with vision transformers
M. Minderer, A. Gritsenko, A. Stone, M. Neumann, D. Weissenborn, A. Dosovitskiy, A. Mahendran, A. Arnab, M. Dehghani, Z. Shen, et al · 2022
Later among the works it cites.
Clip on wheels: Zero-shot object navigation as object localization and exploration
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Multi-task reinforcement learning with context-based representations
S. Sodhani, A. Zhang, and J. Pineau · 2021
Cited alongside, same era.
Reset-free reinforcement learning via multi-task learning: Learning dexterous manipulation behaviors without human intervention
A. Gupta, J. Yu, T. Z. Zhao, V. Kumar, A. Rovinsky, K. Xu, T. Devlin, and S. Levine · 2021
Cited alongside, same era.
Rrl: Resnet as representation for reinforcement learning
R. Shah and V. Kumar · 2021
Cited alongside, same era.
Manipulator-independent representations for visual imitation
Y. Zhou, Y. Aytar, and K. Bousmalis · 2021
Cited alongside, same era.
Concept2robot: Learning manipulation concepts from instructions and human demonstrations
L. Shao, T. Migimatsu, Q. Zhang, K. Yang, and J. Bohg · 2021
Cited alongside, same era.
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
Cited alongside, same era.
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
Cited alongside, same era.
S. Y. Gadre, M. Wortsman, G. Ilharco, L. Schmidt, and S. Song · 2022
Later among the works it cites.
The franka emika robot: A reference platform for robotics research and education
S. Haddadin, S. Parusel, L. Johannsmeier, S. Golz, S. Gabl, F. Walch, M. Sabaghian, C. Jähne, L. Hausperger, and S. Haddadin · 2022
Later among the works it cites.
Behavior transformers: Cloning k k modes with one stone
N. M. M. Shafiullah, Z. J. Cui, A. Altanzaya, and L. Pinto · 2022
Later among the works it cites.
Genaug: Retargeting behaviors to unseen situations via generative augmentation
Z. Chen, S. Kiami, A. Gupta, and V. Kumar · 2023
Closest in time.
Scaling robot learning with semantically imagined experience
T. Yu, T. Xiao, A. Stone, J. Tompson, A. Brohan, S. Wang, J. Singh, C. Tan, J. Peralta, B. Ichter, et al · 2023
Closest in time.
Learning fine-grained bimanual manipulation with low-cost hardware
T. Z. Zhao, V. Kumar, S. Levine, and C. Finn · 2023
Closest in time.
Orbit: A unified simulation framework for interactive robot learning environments
M. Mittal, C. Yu, Q. Yu, J. Liu, N. Rudin, D. Hoeller, J. L. Yuan, R. Singh, Y. Guo, H. Mazhar, et al · 2023
Closest in time.
Dextreme: Transfer of agile in-hand manipulation from simulation to reality
A. Handa, A. Allshire, V. Makoviychuk, A. Petrenko, R. Singh, J. Liu, D. Makoviichuk, K. Van Wyk, A. Zhurkevich, B. Sundaralingam, et al · 2023
Closest in time.
Robocat: A self-improving foundation agent for robotic manipulation
K. Bousmalis, G. Vezzani, D. Rao, C. Devin, A. X. Lee, M. Bauza, T. Davchev, Y. Zhou, A. Gupta, A. Raju, et al · 2023
Closest in time.
Where are we in the search for an artificial visual cortex for embodied intelligence?
A. Majumdar, K. Yadav, S. Arnaud, Y. J. Ma, C. Chen, S. Silwal, A. Jain, V.-P. Berges, P. Abbeel, J. Malik, et al · 2023
Closest in time.
Do as i can, not as i say: Grounding language in robotic affordances
A. Brohan, Y. Chebotar, C. Finn, K. Hausman, A. Herzog, D. Ho, J. Ibarz, A. Irpan, E. Jang, R. Julian, et al · 2023
Closest in time.
Visual affordance prediction for guiding robot exploration
H. Bharadhwaj, A. Gupta, and S. Tulsiani · 2023
Closest in time.
Videodex: Learning dexterity from internet videos
K. Shaw, S. Bahl, and D. Pathak · 2023
Closest in time.
Zero-shot robot manipulation from passive human videos
H. Bharadhwaj, A. Gupta, S. Tulsiani, and V. Kumar · 2023
Closest in time.
Affordances from human videos as a versatile representation for robotics
S. Bahl, R. Mendonca, L. Chen, U. Jain, and D. Pathak · 2023
Closest in time.
Armbench: An object-centric benchmark dataset for robotic manipulation
C. Mitash, F. Wang, S. Lu, V. Terhuja, T. Garaas, F. Polido, and M. Nambi · 2023
Closest in time.
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo, et al · 2023
Closest in time.
Track anything: Segment anything meets videos
J. Yang, M. Gao, Z. Li, S. Gao, F. Wang, and F. Zheng · 2023
Closest in time.