| Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 451* | 2024 |
| 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 | 261 | 2021 |
| OpenVLA: An Open-Source Vision-Language-Action Model MJ Kim, K Pertsch, S Karamcheti, T Xiao, A Balakrishna, S Nair, ... arXiv preprint arXiv:2406.09246, 2024 | 188 | 2024 |
| Deep imitation learning of sequential fabric smoothing from an algorithmic supervisor D Seita, A Ganapathi, R Hoque, M Hwang, E Cen, AK Tanwani, ... arXiv preprint arXiv:1910.04854, 2019 | 151 | 2019 |
| 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 | 145 | 2020 |
| Reliable real‐time seismic signal/noise discrimination with machine learning MA Meier, ZE Ross, A Ramachandran, A Balakrishna, S Nair, P Kundzicz, ... Journal of Geophysical Research: Solid Earth 124 (1), 788-800, 2019 | 145 | 2019 |
| Mechanical search: Multi-step retrieval of a target object occluded by clutter M Danielczuk, A Kurenkov, A Balakrishna, M Matl, D Wang, ... 2019 International Conference on Robotics and Automation (ICRA), 1614-1621, 2019 | 137 | 2019 |
| 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 | 126 | 2020 |
| Visuospatial foresight for multi-step, multi-task fabric manipulation R Hoque, D Seita, A Balakrishna, A Ganapathi, AK Tanwani, N Jamali, ... arXiv preprint arXiv:2003.09044, 2020 | 124 | 2020 |
| Droid: A large-scale in-the-wild robot manipulation dataset A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ... arXiv preprint arXiv:2403.12945, 2024 | 109 | 2024 |
| A microscale optical implant for continuous in vivo monitoring of intraocular pressure JO Lee, H Park, J Du, A Balakrishna, O Chen, D Sretavan, H Choo Microsystems & nanoengineering 3 (1), 1-9, 2017 | 90 | 2017 |
| Thriftydagger: Budget-aware novelty and risk gating for interactive imitation learning R Hoque, A Balakrishna, E Novoseller, A Wilcox, DS Brown, K Goldberg arXiv preprint arXiv:2109.08273, 2021 | 82 | 2021 |
| 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 | 77 | 2021 |
| Prismatic vlms: Investigating the design space of visually-conditioned language models S Karamcheti, S Nair, A Balakrishna, P Liang, T Kollar, D Sadigh arXiv preprint arXiv:2402.07865, 2024 | 71 | 2024 |
| Learning robot policies for untangling dense knots in linear deformable structures J Grannen, P Sundaresan, B Thananjeyan, J Ichnowski, A Balakrishna, ... Conference on Robot Learning (CoRL), 2020 | 71* | 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 | 53 | 2021 |
| VisuoSpatial Foresight for Physical Sequential Fabric Manipulation R Hoque, D Seita, A Balakrishna, A Ganapathi, AK Tanwani, N Jamali, ... arXiv preprint arXiv:2102.09754, 2021 | 47 | 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, 2020 | 35 | 2020 |
| 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 | 30 | 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 | 26 | 2020 |
Ken GoldbergProfessor, UC Berkeley and UCSFDirección de correo verificada de berkeley.edu