| DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation M Lambeta, PW Chou, S Tian, B Yang, B Maloon, VR Most, D Stroud, ... IEEE Robotics and Automation Letters 5 (3), 3838-3845, 2020 | 521 | 2020 |
| RoboNet: Large-Scale Multi-Robot Learning S Dasari, F Ebert, S Tian, S Nair, B Bucher, K Schmeckpeper, S Singh, ... arXiv preprint arXiv:1910.11215, 2019 | 311 | 2019 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 294* | 2023 |
| Manipulation by feel: Touch-based control with deep predictive models S Tian, F Ebert, D Jayaraman, M Mudigonda, C Finn, R Calandra, ... 2019 International Conference on Robotics and Automation (ICRA), 818-824, 2019 | 152 | 2019 |
| OmniTact: A Multi-Directional High-Resolution Touch Sensor A Padmanabha, F Ebert, S Tian, R Calandra, C Finn, S Levine 2020 IEEE International Conference on Robotics and Automation (ICRA), 618-624, 2020 | 136 | 2020 |
| MaskViT: Masked Visual Pre-Training for Video Prediction A Gupta, S Tian, Y Zhang, J Wu, R Martín-Martín, L Fei-Fei arXiv preprint arXiv:2206.11894, 2022 | 128 | 2022 |
| Foundation models in robotics: Applications, challenges, and the future R Firoozi, J Tucker, S Tian, A Majumdar, J Sun, W Liu, Y Zhu, S Song, ... The International Journal of Robotics Research, 02783649241281508, 2023 | 124 | 2023 |
| 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 | 104 | 2024 |
| A Workflow for Offline Model-Free Robotic Reinforcement Learning A Kumar, A Singh, S Tian, C Finn, S Levine arXiv preprint arXiv:2109.10813, 2021 | 99 | 2021 |
| Model-Based Visual Planning with Self-Supervised Functional Distances S Tian, S Nair, F Ebert, S Dasari, B Eysenbach, C Finn, S Levine International Conference on Learning Representations (ICLR), 2020 | 66 | 2020 |
| Learning predictive models from observation and interaction K Schmeckpeper, A Xie, O Rybkin, S Tian, K Daniilidis, S Levine, C Finn European Conference on Computer Vision, 708-725, 2020 | 59 | 2020 |
| Multi-Object Manipulation via Object-Centric Neural Scattering Functions S Tian, Y Cai, HX Yu, S Zakharov, K Liu, A Gaidon, Y Li, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| A Control-Centric Benchmark for Video Prediction S Tian, C Finn, J Wu International Conference on Learning Representations (ICLR) 2023, 2022 | 8 | 2022 |
| View-Invariant Policy Learning via Zero-Shot Novel View Synthesis S Tian, B Wulfe, K Sargent, K Liu, S Zakharov, V Guizilini, J Wu arXiv preprint arXiv:2409.03685, 2024 | 5 | 2024 |
| Are These the Same Apple? Comparing Images Based on Object Intrinsics K Kotar, S Tian, HX Yu, DLK Yamins, J Wu NeurIPS 2023 Datasets and Benchmarks Track, 2023 | 5 | 2023 |
| RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing B Ai, S Tian, H Shi, Y Wang, C Tan, Y Li, J Wu Robotics: Science and Systems (RSS) 2024, 2024 | 4 | 2024 |
| Learning to Design and Use Tools for Robotic Manipulation Z Liu, S Tian, M Guo, K Liu, J Wu 7th Annual Conference on Robot Learning, 2023 | 4 | 2023 |
| Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation M Guo, Z Liu, S Tian, Z Xie, J Wu, CK Liu International Conference on Robotics and Automation (ICRA), 2024 | 1 | 2024 |
Chelsea FinnStanford University, Physical IntelligenceEmail verificata su cs.stanford.edu