Follow
Jasmine Hsu
Jasmine Hsu
New York University, Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
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
1960*2022
Time-contrastive networks: Self-supervised learning from video
P Sermanet, C Lynch, Y Chebotar, J Hsu, E Jang, S Schaal, S Levine, ...
2018 IEEE international conference on robotics and automation (ICRA), 1134-1141, 2018
10782018
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
997*2023
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
9382022
Open x-embodiment: Robotic learning datasets and rt-x models
A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ...
arXiv preprint arXiv:2310.08864, 2023
460*2023
RL-RRT: Kinodynamic motion planning via learning reachability estimators from RL policies
HTL Chiang, J Hsu, M Fiser, L Tapia, A Faust
IEEE Robotics and Automation Letters 4 (4), 4298-4305, 2019
1822019
Long-range indoor navigation with PRM-RL
A Francis, A Faust, HTL Chiang, J Hsu, JC Kew, M Fiser, TWE Lee
IEEE Transactions on Robotics 36 (4), 1115-1134, 2020
1742020
Learning 6-dof grasping interaction via deep 3d geometry-aware representations
X Yan, J Hsu, M Khansari, Y Bai, A Pathak, A Gupta, J Davidson, H Lee
Proceedings of IEEE International Conference on Robotics and Automation …, 2018
1442018
Data-efficient learning for sim-to-real robotic grasping using deep point cloud prediction networks
X Yan, M Khansari, J Hsu, Y Gong, Y Bai, S Pirk, H Lee
arXiv preprint arXiv:1906.08989, 2019
402019
Provably robust blackbox optimization for reinforcement learning
K Choromanski, A Pacchiano, J Parker-Holder, Y Tang, D Jain, Y Yang, ...
Conference on robot learning, 683-696, 2020
392020
Pybullet physics engine
E Coumans, Y Bai, J Hsu
35*2018
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
302023
Robotic grasping prediction using neural networks and geometry aware object representation
J Davidson, X Yan, Y Bai, LEE Honglak, A Gupta, SMK Zadeh, A Pathak, ...
US Patent 11,554,483, 2023
302023
Learning to learn faster from human feedback with language model predictive control
J Liang, F Xia, W Yu, A Zeng, MG Arenas, M Attarian, M Bauza, M Bennice, ...
arXiv preprint arXiv:2402.11450, 2024
232024
Mobility vla: Multimodal instruction navigation with long-context vlms and topological graphs
HTL Chiang, Z Xu, Z Fu, MG Jacob, T Zhang, TWE Lee, W Yu, C Schenck, ...
arXiv preprint arXiv:2407.07775, 2024
112024
Do as i can, not as i say: Grounding language in robotic affordances
A Irpan, A Herzog, AT Toshev, A Zeng, A Brohan, BA Ichter, B David, ...
Conference on Robot Learning, 2022
72022
Robotic manipulation using domain-invariant 3D representations predicted from 2.5 D vision data
LEE Honglak, X Yan, S Pirk, Y Bai, SMK Zadeh, Y Gong, J Hsu
US Patent 12,112,494, 2024
52024
When random search is not enough: Sample-efficient and noise-robust blackbox optimization of RL policies
K Choromanski, A Pacchiano, J Parker-Holder, J Hsu, A Iscen, D Jain, ...
arXiv preprint arXiv:1903.02993, 2019
42019
Deriving Population Assessment through Opinion Polls, Text Analytics, and Agent-Based Modeling
I Yohai, B Skarin, R McCormack, J Hsu
Social Computing, Behavioral-Cultural Modeling and Prediction: 7th …, 2014
12014
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
Z Xu, HTL Chiang, Z Fu, MG Jacob, T Zhang, TWE Lee, W Yu, C Schenck, ...
8th Annual Conference on Robot Learning, 0
1
The system can't perform the operation now. Try again later.
Articles 1–20