| 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 | 170 | 2023 |
| 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 | 52 | 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 | 34 | 2022 |
| 6-dof contrastive grasp proposal network X Zhu, L Sun, Y Fan, M Tomizuka 2021 IEEE International Conference on Robotics and Automation (ICRA), 6371-6377, 2021 | 28 | 2021 |
| 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 | 22 | 2021 |
| 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 | 15 | 2023 |
| Diff-lfd: Contact-aware model-based learning from visual demonstration for robotic manipulation via differentiable physics-based simulation and rendering X Zhu, JH Ke, Z Xu, Z Sun, B Bai, J Lv, Q Liu, Y Zeng, Q Ye, C Lu, ... Conference on Robot Learning, 499-512, 2023 | 13 | 2023 |
| Efficient sim-to-real transfer of contact-rich manipulation skills with online admittance residual learning X Zhang, C Wang, L Sun, Z Wu, X Zhu, M Tomizuka Conference on Robot Learning, 1621-1639, 2023 | 13 | 2023 |
| Learn to grasp with less supervision: A data-efficient maximum likelihood grasp sampling loss X Zhu, Y Zhou, Y Fan, L Sun, J Chen, M Tomizuka 2022 International Conference on Robotics and Automation (ICRA), 721-727, 2022 | 13 | 2022 |
| Optimization model for planning precision grasps with multi-fingered hands Y Fan, X Zhu, M Tomizuka 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 12 | 2019 |
| Learning to synthesize volumetric meshes from vision-based tactile imprints X Zhu, S Jain, M Tomizuka, J Van Baar 2022 International Conference on Robotics and Automation (ICRA), 4833-4839, 2022 | 10 | 2022 |
| Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks L Sun, DK Jha, C Hori, S Jain, R Corcodel, X Zhu, M Tomizuka, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 14054 …, 2024 | 8 | 2024 |
| Fanuc Manipulation: A Dataset for Learning-based Manipulation with FANUC Mate 200iD Robot X Zhu, R Tian, C Xu, M Huo, W Zhan, M Tomizuka, M and Ding https://sites.google.com/berkeley.edu/fanuc-manipulation, 2023 | 8 | 2023 |
| 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 | 7 | 2020 |
| Human-oriented representation learning for robotic manipulation M Huo, M Ding, C Xu, T Tian, X Zhu, Y Mu, L Sun, M Tomizuka, W Zhan arXiv preprint arXiv:2310.03023, 2023 | 6 | 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 | 6 | 2022 |
| Allowing safe contact in robotic goal-reaching: Planning and tracking in operational and null spaces X Zhu, W Lian, B Yuan, CD Freeman, M Tomizuka 2023 IEEE International Conference on Robotics and Automation (ICRA), 8120-8126, 2023 | 5 | 2023 |
| 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 | 4 | 2024 |
| Control of soft pneumatic actuators with approximated dynamical modeling WT Yang, B Kürkçü, M Hirao, L Sun, X Zhu, Z Zhang, GX Gu, M Tomizuka 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1-8, 2023 | 4 | 2023 |
| Adaptive grasp planning for bin picking X Zhu, T Tang, T Kato US Patent 11,701,777, 2023 | 2 | 2023 |
Masayoshi TomizukaMechaniccal Engineering, University of California在 me.berkeley.edu 的电子邮件经过验证
