| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 4839 | 2021 |
| 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 | 652* | 2019 |
| Graph-based neural multi-document summarization M Yasunaga, R Zhang, K Meelu, A Pareek, K Srinivasan, D Radev arXiv preprint arXiv:1706.06681, 2017 | 335 | 2017 |
| Exploring single-cell data with deep multitasking neural networks M Amodio, D Van Dijk, K Srinivasan, WS Chen, H Mohsen, KR Moon, ... Nature methods 16 (11), 1139-1145, 2019 | 318 | 2019 |
| 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 | 264 | 2021 |
| Learning to be Safe: Deep RL with a Safety Critic K Srinivasan, B Eysenbach, S Ha, J Tan, C Finn arXiv preprint arXiv:2010.14603, 2020 | 174 | 2020 |
| Controlling assistive robots with learned latent actions DP Losey, K Srinivasan, A Mandlekar, A Garg, D Sadigh 2020 IEEE International Conference on Robotics and Automation (ICRA), 378-384, 2020 | 146* | 2020 |
| On the opportunities and risks of foundation models. arXiv 2021 R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S Von Arx, ... arXiv preprint arXiv:2108.07258, 2023 | 113 | 2023 |
| Growth and characterization of sulphate mixed L-arginine phosphate and ammonium dihydrogen phosphate/potassium dihydrogen phosphate mixed crystals G Ravi, K Srinivasan, S Anbukumar, P Ramasamy Journal of crystal growth 137 (3-4), 598-604, 1994 | 60 | 1994 |
| Learning hierarchical control for robust in-hand manipulation T Li, K Srinivasan, MQH Meng, W Yuan, J Bohg 2020 IEEE International Conference on Robotics and Automation (ICRA), 8855-8862, 2020 | 55 | 2020 |
| Open x-embodiment: Robotic learning datasets and rt-x models Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ... Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023 | 32 | 2023 |
| Mutual solubility and metastable zone width of NH4H2PO4 KH2PO4 mixed solutions and growth of mixed crystals K Srinivasan, S Anbukumar, P Ramasamy Journal of crystal growth 151 (1-2), 226-229, 1995 | 31 | 1995 |
| Learning modes of within-hand manipulation B Calli, K Srinivasan, A Morgan, AM Dollar 2018 IEEE International Conference on Robotics and Automation (ICRA), 3145-3151, 2018 | 25 | 2018 |
| Granular cell tumor of larynx and bronchus R Ivatury, D Shah, E Ascer, K Srinivasan, J Heraud, M Rohman The Annals of Thoracic Surgery 33 (1), 69-73, 1982 | 25 | 1982 |
| Real robot challenge: A robotics competition in the cloud S Bauer, M Wüthrich, F Widmaier, A Buchholz, S Stark, A Goyal, ... NeurIPS 2021 Competitions and Demonstrations Track, 190-204, 2022 | 18* | 2022 |
| Using a variable-friction robot hand to determine proprioceptive features for object classification during within-hand-manipulation AJ Spiers, AS Morgan, K Srinivasan, B Calli, AM Dollar IEEE Transactions on Haptics 13 (3), 600-610, 2019 | 14 | 2019 |
| Growth imperfections in NH4H2PO4-KH2PO4 mixed crystals by X-ray topographic analysis K Srinivasan, P Ramasamy, T Kar, SP Sengupta Materials chemistry and physics 49 (3), 191-195, 1997 | 12 | 1997 |
| Exploring single-cell data with multitasking deep neural networks M Amodio, K Srinivasan, D van Dijk, H Mohsen, K Yim, R Muhle, ... BioRxiv, 237065, 2017 | 11* | 2017 |
| On some aspects of wear mechanisms in coated carbide tools VC Venkatesh, AS Raju, K Srinivasan Annals of the CIRP 25 (1), 5-9, 1977 | 10 | 1977 |
| Adaptive horizon actor-critic for policy learning in contact-rich differentiable simulation I Georgiev, K Srinivasan, J Xu, E Heiden, A Garg arXiv preprint arXiv:2405.17784, 2024 | 7 | 2024 |
Jeannette BohgAssistant Professor, Stanford UniversityПотвърден имейл адрес: stanford.edu
