Fetching the paper…
Reading the bibliography…
Building effective imitation learning methods that enable robots to learn from limited data and still generalize across diverse real-world environments is a long-standing problem in robot learning.
Development and control of a holonomic mobile robot for mobile manipulation tasks
R. Holmberg and O. Khatib · 2000
Earlier work this paper cites.
A reduction of imitation learning and structured prediction to no-regret online learning
S. Ross, G. Gordon, and D. Bagnell · 2011
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Earlier work this paper cites.
One-shot imitation learning
Y. Duan, M. Andrychowicz, B. Stadie, O. Jonathan Ho, J. Schneider, I. Sutskever, P. Abbeel, and W. Zaremba · 2017
Earlier work this paper cites.
One-shot visual imitation learning via meta-learning
C. Finn, T. Yu, T. Zhang, P. Abbeel, and S. Levine · 2017
Earlier work this paper cites.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
Earlier work this paper cites.
Task-embedded control networks for few-shot imitation learning
S. James, M. Bloesch, and A. J. Davison · 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.
Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks
S. James, P. Wohlhart, M. Kalakrishnan, D. Kalashnikov, A. Irpan, J. Ibarz, S. Levine, R. Hadsell, and K. Bousmalis · 2019
Earlier work this paper cites.
Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
Earlier work this paper cites.
Active domain randomization
B. Mehta, M. Diaz, F. Golemo, C. J. Pal, and L. Paull · 2020
Earlier work this paper cites.
Equivariant flows: exact likelihood generative learning for symmetric densities
J. Köhler, L. Klein, and F. Noé · 2020
Earlier work this paper cites.
Denoising diffusion implicit models
J. Song, C. Meng, and S. Ermon · 2020
Earlier work this paper cites.
A simple framework for contrastive learning of visual representations
T. Chen, S. Kornblith, M. Norouzi, and G. Hinton · 2020
Earlier work this paper cites.
Vector neurons: A general framework for so (3)-equivariant networks
C. Deng, O. Litany, Y. Duan, A. Poulenard, A. Tagliasacchi, and L. J. Guibas · 2021
Earlier work this paper cites.
What matters in learning from offline human demonstrations for robot manipulation
A. Mandlekar, D. Xu, J. Wong, S. Nasiriany, C. Wang, R. Kulkarni, L. Fei-Fei, S. Savarese, Y. Zhu, and R. Martín-Martín · 2021
Earlier work this paper cites.
Implicit behavioral cloning
P. Florence, C. Lynch, A. Zeng, O. A. Ramirez, A. Wahid, L. Downs, A. Wong, J. Lee, I. Mordatch, and J. Tompson · 2022
Earlier work this paper 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
Earlier work this paper cites.
Towards more generalizable one-shot visual imitation learning
Z. Mandi, F. Liu, K. Lee, and P. Abbeel · 2022
Cited alongside, same era.
Learning periodic tasks from human demonstrations
J. Yang, J. Zhang, C. Settle, A. Rai, R. Antonova, and J. Bohg · 2022
Cited alongside, same era.
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
Cited alongside, same era.
H. Ryu, H.-i. Lee, J.-H. Lee, and J. Choi · 2022
Cited alongside, same era.
Equivariant diffusion for molecule generation in 3d
E. Hoogeboom, V. G. Satorras, C. Vignac, and M. Welling · 2022
Cited alongside, same era.
Neural grasp distance fields for robot manipulation
T. Weng, D. Held, F. Meier, and M. Mukadam · 2023
Later among the works it cites.
Robot manipulation task learning by leveraging se (3) group invariance and equivariance
J. Seo, N. P. S. Prakash, X. Zhang, C. Wang, J. Choi, M. Tomizuka, and R. Horowitz · 2023
Later among the works it cites.
3d equivariant diffusion for target-aware molecule generation and affinity prediction
J. Guan, W. W. Qian, X. Peng, Y. Su, J. Peng, and J. Ma · 2023
Later among the works it cites.
H. Ryu, J. Kim, J. Chang, H. S. Ahn, J. Seo, T. Kim, J. Choi, and R. Horowitz · 2023
Later among the works it cites.
Equidiff: A conditional equivariant diffusion model for trajectory prediction
K. Chen, X. Chen, Z. Yu, M. Zhu, and H. Yang · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A. Schneuing, Y. Du, C. Harris, A. Jamasb, I. Igashov, W. Du, T. Blundell, P. Lió, C. Gomes, M. Welling, et al · 2022
Cited alongside, same era.
Equivariant transporter network
H. Huang, D. Wang, R. Walters, and R. Platt · 2022
Cited alongside, same era.
So(2)-equivariant reinforcement learning
D. Wang, R. Walters, and R. Platt · 2022
Cited alongside, same era.
Geodiff: A geometric diffusion model for molecular conformation generation
M. Xu, L. Yu, Y. Song, C. Shi, S. Ermon, and J. Tang · 2022
Cited alongside, same era.
Learning fine-grained bimanual manipulation with low-cost hardware
T. Z. Zhao, V. Kumar, S. Levine, and C. Finn · 2023
Cited alongside, same era.
Waypoint-based imitation learning for robotic manipulation
L. X. Shi, A. Sharma, T. Z. Zhao, and C. Finn · 2023
Cited alongside, same era.
Rt-2: Vision-language-action models transfer web knowledge to robotic control
A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, X. Chen, K. Choromanski, T. Ding, D. Driess, A. Dubey, C. Finn, et al · 2023
Cited alongside, same era.
Later among the works it cites.
Efem: Equivariant neural field expectation maximization for 3d object segmentation without scene supervision
J. Lei, C. Deng, K. Schmeckpeper, L. Guibas, and K. Daniilidis · 2023
Later among the works it cites.
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo, P. Dollár, and R. Girshick · 2023
Later among the works it cites.
Seil: Simulation-augmented equivariant imitation learning
M. Jia, D. Wang, G. Su, D. Klee, X. Zhu, R. Walters, and R. Platt · 2023
Later among the works it cites.
Tracking anything with decoupled video segmentation
H. K. Cheng, S. W. Oh, B. Price, A. Schwing, and J.-Y. Lee · 2023
Later among the works it cites.
Octo: An open-source generalist robot policy
O. M. Team, D. Ghosh, H. Walke, K. Pertsch, K. Black, O. Mees, S. Dasari, J. Hejna, T. Kreiman, C. Xu, et al · 2024
Closest in time.
Droid: A large-scale in-the-wild robot manipulation dataset
A. Khazatsky, K. Pertsch, S. Nair, A. Balakrishna, S. Dasari, S. Karamcheti, S. Nasiriany, M. K. Srirama, L. Y. Chen, K. Ellis, et al · 2024
Closest in time.
Openvla: An open-source vision-language-action model
M. J. Kim, K. Pertsch, S. Karamcheti, T. Xiao, A. Balakrishna, S. Nair, R. Rafailov, E. Foster, G. Lam, P. Sanketi, et al · 2024
Closest in time.
Equivariant 3d-conditional diffusion model for molecular linker design
I. Igashov, H. Stärk, C. Vignac, A. Schneuing, V. G. Satorras, P. Frossard, M. Welling, M. Bronstein, and B. Correia · 2024
Closest in time.
Edgi: Equivariant diffusion for planning with embodied agents
J. Brehmer, J. Bose, P. De Haan, and T. S. Cohen · 2024
Closest in time.
Reconstructing hands in 3D with transformers
G. Pavlakos, D. Shan, I. Radosavovic, A. Kanazawa, D. Fouhey, and J. Malik · 2024
Closest in time.
3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations
Y. Ze, G. Zhang, K. Zhang, C. Hu, M. Wang, and H. Xu · 2024
Closest in time.
Fourier transporter: Bi-equivariant robotic manipulation in 3d
H. Huang, O. Howell, X. Zhu, D. Wang, R. Walters, and R. Platt · 2024
Closest in time.