| 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 | 214 | 2019 |
| 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 | 172 | 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 | 154 | 2016 |
| 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 | 149 | 2018 |
| 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 | 139 | 2017 |
| 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 | 131* | 2017 |
| 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 | 127 | 2020 |
| 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 | 126* | 2017 |
| 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 | 109 | 2018 |
| 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 | 98 | 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 | 93 | 2019 |
| 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 | 93 | 2018 |
| A Single-Use Haptic Palpation Probe for Locating Subcutaneous Blood Vessels in Robot-Assisted Minimally Invasive Surgery S McKinley, A Garg, S Sen, R Kapadia, A Murali, K Nichols, S Lim, S Patil, ... IEEE International Conference on Automation Science and Engineering (CASE), 2015, 2015 | 88 | 2015 |
| 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 | 80 | 2019 |
| SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards S Krishnan, A Garg, R Liaw, B Thananjeyan, L Miller, FT Pokorny, ... The International Journal of Robotics Research 38 (2-3), 126-145, 2019 | 72* | 2019 |
| 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 | 67 | 2020 |
| Finding “It”: Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos DA Huang*, S Buch*, L Dery, A Garg, L Fei-Fei, JC Niebles Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 67 | 2018 |
| Evaluation of PC‐ISO for customized, 3D printed, gynecologic HDR brachytherapy applicators JAM Cunha, K Mellis, R Sethi, T Siauw, A Sudhyadhom, A Garg, ... Journal of applied clinical medical physics 16 (1), 246-253, 2015 | 66 | 2015 |
| Tumor localization using automated palpation with gaussian process adaptive sampling A Garg, S Sen, R Kapadia, Y Jen, S McKinley, L Miller, K Goldberg IEEE International Conference on Automation Science and Engineering (CASE …, 2016 | 65 | 2016 |
| TSC-DL: Unsupervised Trajectory Segmentation of Multi-Modal Surgical Demonstrations with Deep Learning A Murali*, A Garg*, S Krishnan*, FT Pokorny, P Abbeel, T Darrell, ... IEEE International Conference on Robotics and Automation (ICRA), 2016, 2016 | 63 | 2016 |
Ken GoldbergProfessor, UC Berkeley and UCSFVerified email at berkeley.edu
