| Progprompt: Generating situated robot task plans using large language models I Singh, V Blukis, A Mousavian, A Goyal, D Xu, J Tremblay, D Fox, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 11523 …, 2023 | 572 | 2023 |
| Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks MA Lee, Y Zhu, K Srinivasan, P Shah, S Savarese, L Fei-Fei, A Garg, ... 2019 International Conference on Robotics and Automation (ICRA), 8943-8950, 2019 | 396 | 2019 |
| RoboTurk: A crowdsourcing platform for robotic skill learning through imitation A Mandlekar, Y Zhu, A Garg, J Booher, M Spero, A Tung, J Gao, ... Conference on Robot Learning (CoRL), 2018 | 257 | 2018 |
| Learning task-oriented grasping for tool manipulation from simulated self-supervision K Fang, Y Zhu, A Garg, A Kurenkov, V Mehta, L Fei-Fei, S Savarese The International Journal of Robotics Research 39 (2-3), 202-216, 2020 | 240 | 2020 |
| Neural task programming: Learning to generalize across hierarchical tasks D Xu, S Nair, Y Zhu, J Gao, A Garg, L Fei-Fei, S Savarese IEEE International Conference on Robotics and Automation (ICRA), 2018 | 233 | 2018 |
| Learning by Observation for Surgical Subtasks: Multilateral Cutting of 3D Viscoelastic and 2D Orthotropic Tissue Phantoms A Murali*, S Sen*, B Kehoe, A Garg, S McFarland, S Patil, WD Boyd, ... IEEE International Conference on Robotics and Automation (ICRA), 1202 - 1209, 2015 | 229 | 2015 |
| Automating Multiple-Throw Multilateral Surgical Suturing with a Mechanical Needle Guide and Sequential Convex Optimization S Sen*, A Garg*, DV Gealy, S McKinley, Y Jen, ... IEEE International Conference on Robotics and Automation (ICRA), 2016, 2016 | 224 | 2016 |
| Open x-embodiment: Robotic learning datasets and rt-x models arXiv preprint arXiv:2310.08864, 2023 | 219* | 2023 |
| Making sense of vision and touch: Learning multimodal representations for contact-rich tasks MA Lee, Y Zhu, P Zachares, M Tan, K Srinivasan, S Savarese, L Fei-Fei, ... IEEE Transactions on Robotics 36 (3), 582-596, 2020 | 218 | 2020 |
| Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks R Martín-Martín, MA Lee, R Gardner, S Savarese, J Bohg, A Garg IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2019 | 208 | 2019 |
| Adversarially Robust Policy Learning: Active Construction of Physically-Plausible Perturbations A Mandlekar*, Y Zhu*, A Garg*, L Fei-Fei, ... IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2017 | 204 | 2017 |
| Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning S Krishnan*, A Garg*, S Patil, C Lea, G Hager, P Abbeel, ... International Journal of Robotics Research 36 (13-14), 1595 - 1618, 2017 | 186 | 2017 |
| Multilateral Surgical Pattern Cutting in 2D Orthotropic Gauze with Deep Reinforcement Learning Policies for Tensioning B Thananjeyan, A Garg, S Krishnan, C Chen, L Miller, K Goldberg IEEE Int'l Conf. on Robotics and Automation (ICRA), 2017 | 166 | 2017 |
| Neural task graphs: Generalizing to unseen tasks from a single video demonstration DA Huang, S Nair, D Xu, Y Zhu, A Garg, L Fei-Fei, S Savarese, ... Conference on Computer Vision and Pattern Recognition (CVPR), 8565-8574, 2019 | 162 | 2019 |
| Weakly supervised 3d reconstruction with adversarial constraint JY Gwak, CB Choy, M Chandraker, A Garg, S Savarese 2017 International Conference on 3D Vision (3DV), 263-272, 2017 | 161* | 2017 |
| X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval S Krishna Gorti, N Vouitsis, J Ma, K Golestan, M Volkovs, A Garg, G Yu Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 160* | 2022 |
| Conservative Safety Critics for Exploration H Bharadhwaj, A Kumar, N Rhinehart, S Levine, F Shkurti, A Garg International Conference on Learning Representations (ICLR), 2021 | 143 | 2021 |
| DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image A Kurenkov*, J Ji*, A Garg, V Mehta, JY Gwak, C Choy, ... IEEE Winter Conf. on Applications of Computer Vision (WACV), 2018 | 139 | 2018 |
| Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning C Bai, L Wang, Z Yang, Z Deng, A Garg, P Liu, Z Wang International Conference on Learning Representations (ICLR), 2022 | 134 | 2022 |
| Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter M Danielczuk, A Kurenkov, A Balakrishna, M Matl, D Wang, ... IEEE International Conference on Robotics and Automation (ICRA), 2019 | 129 | 2019 |
Ken GoldbergProfessor, UC Berkeley and UCSF在 berkeley.edu 的电子邮件经过验证
