Recovery rl: Safe reinforcement learning with learned recovery zones B Thananjeyan, A Balakrishna, S Nair, M Luo, K Srinivasan, M Hwang, ... IEEE Robotics and Automation Letters 6 (3), 4915-4922, 2021 | 219 | 2021 |
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 2017 IEEE International Conference on Robotics and Automation (ICRA), 2371-2378, 2017 | 161 | 2017 |
Deep imitation learning of sequential fabric smoothing from an algorithmic supervisor D Seita, A Ganapathi, R Hoque, M Hwang, E Cen, AK Tanwani, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 137 | 2020 |
Learning rope manipulation policies using dense object descriptors trained on synthetic depth data P Sundaresan, J Grannen, B Thananjeyan, A Balakrishna, M Laskey, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 9411-9418, 2020 | 131 | 2020 |
Safety augmented value estimation from demonstrations (saved): Safe deep model-based rl for sparse cost robotic tasks B Thananjeyan, A Balakrishna, U Rosolia, F Li, R McAllister, JE Gonzalez, ... IEEE Robotics and Automation Letters 5 (2), 3612-3619, 2020 | 112 | 2020 |
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 | 65 | 2019 |
Learning dense visual correspondences in simulation to smooth and fold real fabrics A Ganapathi, P Sundaresan, B Thananjeyan, A Balakrishna, D Seita, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 11515 …, 2021 | 64 | 2021 |
Untangling dense knots by learning task-relevant keypoints J Grannen, P Sundaresan, B Thananjeyan, J Ichnowski, A Balakrishna, ... arXiv preprint arXiv:2011.04999, 2020 | 55 | 2020 |
Efficiently calibrating cable-driven surgical robots with RGBD fiducial sensing and recurrent neural networks M Hwang, B Thananjeyan, S Paradis, D Seita, J Ichnowski, D Fer, T Low, ... IEEE Robotics and Automation Letters 5 (4), 5937-5944, 2020 | 49 | 2020 |
Lazydagger: Reducing context switching in interactive imitation learning R Hoque, A Balakrishna, C Putterman, M Luo, DS Brown, D Seita, ... 2021 IEEE 17th international conference on automation science and …, 2021 | 48 | 2021 |
Applying depth-sensing to automated surgical manipulation with a da vinci robot M Hwang, D Seita, B Thananjeyan, J Ichnowski, S Paradis, D Fer, T Low, ... 2020 international symposium on medical robotics (ISMR), 22-29, 2020 | 38 | 2020 |
Intermittent visual servoing: Efficiently learning policies robust to instrument changes for high-precision surgical manipulation S Paradis, M Hwang, B Thananjeyan, J Ichnowski, D Seita, D Fer, T Low, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 7166-7173, 2021 | 35 | 2021 |
Learning to smooth and fold real fabric using dense object descriptors trained on synthetic color images A Ganapathi, P Sundaresan, B Thananjeyan, A Balakrishna, D Seita, ... arXiv preprint arXiv:2003.12698 3, 2020 | 33 | 2020 |
Automated extraction of surgical needles from tissue phantoms P Sundaresan, B Thananjeyan, J Chiu, D Fer, K Goldberg 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 33 | 2019 |
Simnet: Enabling robust unknown object manipulation from pure synthetic data via stereo T Kollar, M Laskey, K Stone, B Thananjeyan, M Tjersland Conference on Robot Learning, 938-948, 2022 | 28 | 2022 |
Learning to localize, grasp, and hand over unmodified surgical needles A Wilcox, J Kerr, B Thananjeyan, J Ichnowski, M Hwang, S Paradis, D Fer, ... 2022 International Conference on Robotics and Automation (ICRA), 9637-9643, 2022 | 26 | 2022 |
Fleet-dagger: Interactive robot fleet learning with scalable human supervision R Hoque, LY Chen, S Sharma, K Dharmarajan, B Thananjeyan, P Abbeel, ... Conference on Robot Learning, 368-380, 2023 | 25 | 2023 |
Untangling dense non-planar knots by learning manipulation features and recovery policies P Sundaresan, J Grannen, B Thananjeyan, A Balakrishna, J Ichnowski, ... arXiv preprint arXiv:2107.08942, 2021 | 25 | 2021 |
On-policy robot imitation learning from a converging supervisor A Balakrishna, B Thananjeyan, J Lee, F Li, A Zahed, JE Gonzalez, ... Conference on Robot Learning, 24-41, 2020 | 25 | 2020 |
Disentangling dense multi-cable knots V Viswanath, J Grannen, P Sundaresan, B Thananjeyan, A Balakrishna, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 23 | 2021 |