Follow
Dmitry Kalashnikov
Dmitry Kalashnikov
Verified email at google.com
Title
Cited by
Cited by
Year
Scalable deep reinforcement learning for vision-based robotic manipulation
D Kalashnikov, A Irpan, P Pastor, J Ibarz, A Herzog, E Jang, D Quillen, ...
Conference on robot learning, 651-673, 2018
14932018
Do as i can, not as i say: Grounding language in robotic affordances
M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, C Fu, ...
arXiv preprint arXiv:2204.01691, 2022
9632022
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, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
4982019
Rt-1: Robotics transformer for real-world control at scale
A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ...
arXiv preprint arXiv:2212.06817, 2022
4712022
Rt-2: Vision-language-action models transfer web knowledge to robotic control
A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ...
arXiv preprint arXiv:2307.15818, 2023
3342023
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, ...
Conference on robot learning, 287-318, 2023
2622023
The forward physics facility at the high-luminosity LHC
JL Feng, F Kling, MH Reno, J Rojo, D Soldin, LA Anchordoqui, J Boyd, ...
Journal of Physics G: Nuclear and Particle Physics 50 (3), 030501, 2023
2162023
Scaling up multi-task robotic reinforcement learning
D Kalashnikov, J Varley, Y Chebotar, B Swanson, R Jonschkowski, ...
Conference on Robot Learning, 557-575, 2022
1362022
Mt-opt: Continuous multi-task robotic reinforcement learning at scale
D Kalashnikov, J Varley, Y Chebotar, B Swanson, R Jonschkowski, ...
arXiv preprint arXiv:2104.08212, 2021
1362021
Actionable models: Unsupervised offline reinforcement learning of robotic skills
Y Chebotar, K Hausman, Y Lu, T Xiao, D Kalashnikov, J Varley, A Irpan, ...
arXiv preprint arXiv:2104.07749, 2021
1352021
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
942023
Rt-2: Vision-language-action models transfer web knowledge to robotic control
B Zitkovich, T Yu, S Xu, P Xu, T Xiao, F Xia, J Wu, P Wohlhart, S Welker, ...
Conference on Robot Learning, 2165-2183, 2023
592023
Thinking while moving: Deep reinforcement learning with concurrent control
T Xiao, E Jang, D Kalashnikov, S Levine, J Ibarz, K Hausman, A Herzog
arXiv preprint arXiv:2004.06089, 2020
442020
Learning model predictive controllers with real-time attention for real-world navigation
X Xiao, T Zhang, K Choromanski, E Lee, A Francis, J Varley, S Tu, ...
arXiv preprint arXiv:2209.10780, 2022
362022
Aw-opt: Learning robotic skills with imitation andreinforcement at scale
Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ...
Conference on Robot Learning, 1078-1088, 2022
332022
Learning precise 3d manipulation from multiple uncalibrated cameras
I Akinola, J Varley, D Kalashnikov
2020 IEEE International Conference on Robotics and Automation (ICRA), 4616-4622, 2020
252020
Reward machines for vision-based robotic manipulation
A Camacho, J Varley, A Zeng, D Jain, A Iscen, D Kalashnikov
2021 IEEE International Conference on Robotics and Automation (ICRA), 14284 …, 2021
202021
Aw-opt: Learning robotic skills with imitation and reinforcement at scale
Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ...
arXiv preprint arXiv:2111.05424, 2021
192021
Hybrid random features
K Choromanski, H Chen, H Lin, Y Ma, A Sehanobish, D Jain, MS Ryoo, ...
arXiv preprint arXiv:2110.04367, 2021
192021
Deep reinforcement learning for robotic manipulation
D Kalashnikov, A Irpan, PP Sampedro, J Ibarz, A Herzog, E Jang, ...
US Patent App. 17/052,679, 2021
152021
The system can't perform the operation now. Try again later.
Articles 1–20