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| 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 | 975* | 2018 |
| 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 | 492 | 2022 |
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| 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 | 152 | 2020 |
| 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 | 149 | 2019 |
| 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 | 129 | 2018 |
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| 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 | 38 | 2020 |
| Pybullet physics engine E Coumans, Y Bai, J Hsu | 33* | 2018 |
| 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 | 31 | 2019 |
| 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 | 22 | 2023 |
| 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 | 12 | 2023 |
| 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 App. 17/053,335, 2021 | 4 | 2021 |
| 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 | 4 | 2019 |
| 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 | 3 | 2022 |
| 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 | 2 | 2024 |
| 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 | 1 | 2014 |
| A Crop Recommendation Tool for Organic Farmers J Hsu, D Shasha Courant Institute of Mathematical Sciences, 2015 | | 2015 |
| RosyRecommends: Collaborative Filter Analysis of Listening Behavior Using User Similarity Metrics Based on Timbral Clusters A Jois, J Hsu Proceedings of the Third International Symposium on Women in Computing and …, 2015 | | 2015 |
Sergey LevineUC Berkeley, Physical Intelligence在 eecs.berkeley.edu 的电子邮件经过验证
