| 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, S Lim, ... 2015 IEEE International Conference on Robotics and Automation (ICRA), 1202-1209, 2015 | 216 | 2015 |
| Robot learning in homes: Improving generalization and reducing dataset bias A Gupta, A Murali, D Gandhi, L Pinto Neural Information Processing Systems, 2018 | 214 | 2018 |
| 6-dof grasping for target-driven object manipulation in clutter A Murali, A Mousavian, C Eppner, C Paxton, D Fox 2020 IEEE International Conference on Robotics and Automation (ICRA), 6232-6238, 2020 | 207 | 2020 |
| Pyrobot: An open-source robotics framework for research and benchmarking A Murali, T Chen, KV Alwala, D Gandhi, L Pinto, S Gupta, A Gupta arXiv preprint arXiv:1906.08236, 2019 | 105 | 2019 |
| 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, ... 2015 IEEE International Conference on Automation Science and Engineering …, 2015 | 101 | 2015 |
| Learning accurate kinematic control of cable-driven surgical robots using data cleaning and gaussian process regression J Mahler, S Krishnan, M Laskey, S Sen, A Murali, B Kehoe, S Patil, ... 2014 IEEE international conference on automation science and engineering …, 2014 | 91 | 2014 |
| 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, K Goldberg 2016 IEEE international conference on robotics and automation (ICRA), 4150-4157, 2016 | 86 | 2016 |
| Hardware conditioned policies for multi-robot transfer learning T Chen, A Murali, A Gupta Neural Information Processing Systems, 2018 | 79 | 2018 |
| Learning to grasp without seeing A Murali, Y Li, D Gandhi, A Gupta International Symposium on Experimental Robotics, 375-386, 2018 | 66 | 2018 |
| Same object, different grasps: Data and semantic knowledge for task-oriented grasping A Murali, W Liu, K Marino, S Chernova, A Gupta Conference on Robot Learning, 2020 | 45 | 2020 |
| Cassl: Curriculum accelerated self-supervised learning A Murali, L Pinto, D Gandhi, A Gupta 2018 IEEE International Conference on Robotics and Automation (ICRA), 6453-6460, 2018 | 37 | 2018 |
| A paced shared-control teleoperated architecture for supervised automation of multilateral surgical tasks K Shamaei, Y Che, A Murali, S Sen, S Patil, K Goldberg, AM Okamura 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 29 | 2015 |
| Motion policy networks A Fishman, A Murali, C Eppner, B Peele, B Boots, D Fox Conference on Robot Learning, 967-977, 2023 | 25 | 2023 |
| A morphological study on direct polymer cast micro-textured hydrophobic surfaces M Adithyavairavan, S Subbiah Surface and Coatings Technology 205 (20), 4764-4770, 2011 | 18 | 2011 |
| Models of human-centered automation in a debridement task KA Nichols, A Murali, S Sen, K Goldberg, AM Okamura 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 13 | 2015 |
| Handoversim: A simulation framework and benchmark for human-to-robot object handovers YW Chao, C Paxton, Y Xiang, W Yang, B Sundaralingam, T Chen, ... 2022 International Conference on Robotics and Automation (ICRA), 6941-6947, 2022 | 12 | 2022 |
| Cabinet: Scaling neural collision detection for object rearrangement with procedural scene generation A Murali, A Mousavian, C Eppner, A Fishman, D Fox 2023 IEEE International Conference on Robotics and Automation (ICRA), 1866-1874, 2023 | 8 | 2023 |
| Secondary ion mass spectrometry of macromolecules loading in individual polyelectrolyte multilayer microcapsules NL Yakovlev, MV Kiryukhin, MN Antipina, TT Susanto, S Ravi, ... Australian Journal of Chemistry 64 (9), 1295-1298, 2011 | 5 | 2011 |
| Neural motion fields: Encoding grasp trajectories as implicit value functions YC Chen, A Murali, B Sundaralingam, W Yang, A Garg, D Fox arXiv preprint arXiv:2206.14854, 2022 | 3 | 2022 |
| On Visual Feature Representations for Transition State Learning in Robotic Task Demonstrations A Garg, S Krishnan, A Murali, FT Pokorny, P Abbeel, T Darrell, K Goldberg NIPS Workshop on Feature Extraction, 2015 | 2 | 2015 |
Ken GoldbergProfessor, UC Berkeley and UCSFVerified email at berkeley.edu
