| Robust deformation model approximation for robotic cable manipulation S Jin, C Wang, M Tomizuka 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 45* | 2019 |
| Offline-online learning of deformation model for cable manipulation with graph neural networks C Wang, Y Zhang, X Zhang, Z Wu, X Zhu, S Jin, T Tang, M Tomizuka IEEE Robotics and Automation Letters 7 (2), 5544-5551, 2022 | 40 | 2022 |
| Learning insertion primitives with discrete-continuous hybrid action space for robotic assembly tasks X Zhang, S Jin, C Wang, X Zhu, M Tomizuka 2022 International conference on robotics and automation (ICRA), 9881-9887, 2022 | 30 | 2022 |
| Trajectory optimization for manipulation of deformable objects: Assembly of belt drive units S Jin, D Romeres, A Ragunathan, DK Jha, M Tomizuka 2021 IEEE International Conference on Robotics and Automation (ICRA), 10002 …, 2021 | 28 | 2021 |
| Robotic cable routing with spatial representation S Jin, W Lian, C Wang, M Tomizuka, S Schaal IEEE Robotics and Automation Letters 7 (2), 5687-5694, 2022 | 25 | 2022 |
| Contact pose identification for peg-in-hole assembly under uncertainties S Jin, X Zhu, C Wang, M Tomizuka 2021 American Control Conference (ACC), 48-53, 2021 | 21 | 2021 |
| Real-time state estimation of deformable objects with dynamical simulation S Jin, C Wang, X Zhu, T Tang, M Tomizuka Workshop on Robotic Manipulation of Deformable Objects, 2020 | 6 | 2020 |
| Goats: Goal sampling adaptation for scooping with curriculum reinforcement learning Y Niu, S Jin, Z Zhang, J Zhu, D Zhao, L Zhang 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 5 | 2023 |
| Bpomp: A bilevel path optimization formulation for motion planning C Wang, HC Lin, S Jin, X Zhu, L Sun, M Tomizuka 2022 American Control Conference (ACC), 1891-1897, 2022 | 5 | 2022 |
| Reasoning Grasping via Multimodal Large Language Model S Jin, J Xu, Y Lei, L Zhang arXiv preprint arXiv:2402.06798, 2024 | 2 | 2024 |
| Learning excavation of rigid objects with offline reinforcement learning S Jin, Z Ye, L Zhang arXiv preprint arXiv:2303.16427, 2023 | 1 | 2023 |
| RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models L Chen, Y Lei, S Jin, Y Zhang, L Zhang arXiv preprint arXiv:2403.06420, 2024 | | 2024 |
| Learning and Planning for Industrial Robotic Manipulation S Jin University of California, Berkeley, 2021 | | 2021 |
Masayoshi TomizukaMechaniccal Engineering, University of CaliforniaVerified email at me.berkeley.edu
