A framework for manipulating deformable linear objects by coherent point drift T Tang*, C Wang*, M Tomizuka IEEE Robotics and Automation Letters 3 (4), 3426-3433, 2018 | 74 | 2018 |
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 | 42 | 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 |
Online learning of unknown dynamics for model-based controllers in legged locomotion Y Sun, WL Ubellacker, WL Ma, X Zhang, C Wang, NV Csomay-Shanklin, ... IEEE Robotics and Automation Letters 6 (4), 8442-8449, 2021 | 35 | 2021 |
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 |
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 |
Trajectory splitting: A distributed formulation for collision avoiding trajectory optimization C Wang, J Bingham, M Tomizuka 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 14 | 2021 |
A coarse-to-fine framework for dual-arm manipulation of deformable linear objects with whole-body obstacle avoidance M Yu, K Lv, C Wang, M Tomizuka, X Li 2023 IEEE International Conference on Robotics and Automation (ICRA), 10153 …, 2023 | 11 | 2023 |
Prim-lafd: A framework to learn and adapt primitive-based skills from demonstrations for insertion tasks Z Wu, W Lian, C Wang, M Li, S Schaal, M Tomizuka IFAC-PapersOnLine 56 (2), 4120-4125, 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 |
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 | 6 | 2023 |
Safe online gain optimization for cartesian space variable impedance control C Wang, X Zhang, Z Kuang, M Tomizuka 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 6* | 2022 |
Robust deformation model approximation for robotic cable manipulation. In 2019 IEEE S Jin*, C Wang*, M Tomizuka RSJ International Conference on Intelligent Robots and Systems (IROS), 6586-6593, 0 | 6 | |
Contact-rich SE (3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control J Seo, NPS Prakash, X Zhang, C Wang, J Choi, M Tomizuka, R Horowitz IEEE Robotics and Automation Letters, 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 |
Distributed Multi-agent Interaction Generation with Imagined Potential Games L Sun, PY Hung, C Wang, M Tomizuka, Z Xu arXiv preprint arXiv:2310.01614, 2023 | 4 | 2023 |
Zero-shot policy transfer with disentangled task representation of meta-reinforcement learning Z Wu, Y Xie, W Lian, C Wang, Y Guo, J Chen, S Schaal, M Tomizuka 2023 IEEE International Conference on Robotics and Automation (ICRA), 7169-7175, 2023 | 3 | 2023 |
Collision avoidance motion planning method for industrial robot C Wang, HC Lin, T Kato US Patent 11,813,753, 2023 | | 2023 |
Generalizable whole-body global manipulation of deformable linear objects by dual-arm robot in 3-D constrained environments M Yu, K Lv, C Wang, Y Jiang, M Tomizuka, X Li arXiv preprint arXiv:2310.09899, 2023 | | 2023 |