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Changhao Wang
Changhao Wang
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
742018
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
422019
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
402022
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
352021
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
302022
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
252022
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
212021
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
142021
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
112023
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
82023
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
72020
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
62023
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
52022
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
42023
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
32023
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
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