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Keerthana Gopalakrishnan
Keerthana Gopalakrishnan
Google Deepmind, CMU Robotics
Verified email at google.com - Homepage
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Cited by
Year
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
8762022
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
4152022
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
2722023
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
2352023
Open-vocabulary queryable scene representations for real world planning
B Chen, F Xia, B Ichter, K Rao, K Gopalakrishnan, MS Ryoo, A Stone, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 11509 …, 2023
1042023
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
732023
Open-world object manipulation using pre-trained vision-language models
A Stone, T Xiao, Y Lu, K Gopalakrishnan, KH Lee, Q Vuong, P Wohlhart, ...
arXiv preprint arXiv:2303.00905, 2023
592023
Multi-modal sequence fusion via recursive attention for emotion recognition
R Beard, R Das, RWM Ng, PGK Gopalakrishnan, L Eerens, ...
Proceedings of the 22nd conference on computational natural language …, 2018
572018
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
452023
Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions
Y Chebotar, Q Vuong, K Hausman, F Xia, Y Lu, A Irpan, A Kumar, T Yu, ...
Conference on Robot Learning, 3909-3928, 2023
212023
Deep rl at scale: Sorting waste in office buildings with a fleet of mobile manipulators
A Herzog, K Rao, K Hausman, Y Lu, P Wohlhart, M Yan, J Lin, MG Arenas, ...
arXiv preprint arXiv:2305.03270, 2023
142023
Token turing machines
MS Ryoo, K Gopalakrishnan, K Kahatapitiya, T Xiao, K Rao, A Stone, Y Lu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
122023
Do as i can, not as i say: Grounding language in robotic affordances, 2022
M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, ...
URL https://arxiv. org/abs/2204.01691 2, 0
12
Open x-embodiment: Robotic learning datasets and RT-x models
Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ...
Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023
82023
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
P Sermanet, T Ding, J Zhao, F Xia, D Dwibedi, K Gopalakrishnan, C Chan, ...
arXiv preprint arXiv:2311.00899, 2023
72023
401 K. Hausman, A. Herzog, et al. Do as i can, not as i say: Grounding language in robotic 402 affordances
M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, ...
arXiv preprint arXiv:2204.01691 403, 2022
72022
Ritwik Das, Raymond WM Ng, PG Keerthana Gopalakrishnan, Luka Eerens, Pawel Swietojanski, and Ondrej Miksik. 2018. Multi-modal sequence fusion via recursive attention for …
R Beard
Proceedings of the 22nd Conference on Computational Natural Language …, 0
7
Autort: Embodied foundation models for large scale orchestration of robotic agents
M Ahn, D Dwibedi, C Finn, MG Arenas, K Gopalakrishnan, K Hausman, ...
arXiv preprint arXiv:2401.12963, 2024
52024
Rt-trajectory: Robotic task generalization via hindsight trajectory sketches
J Gu, S Kirmani, P Wohlhart, Y Lu, MG Arenas, K Rao, W Yu, C Fu, ...
arXiv preprint arXiv:2311.01977, 2023
52023
Asynchronous Advantage Actor-Critic Agent for Starcraft 2
B Alghanem, K P G
arXiv preprint arXiv:1807.08217, 2018
52018
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