| Motion planning of manipulators for simultaneous obstacle avoidance and target tracking: An RNN approach with guaranteed performance Z Xu, X Zhou, H Wu, X Li, S Li IEEE Transactions on Industrial Electronics 69 (4), 3887-3897, 2021 | 41 | 2021 |
| Cooperative kinematic control for multiple redundant manipulators under partially known information using recurrent neural network X Li, Z Xu, S Li, H Wu, X Zhou IEEE Access 8, 40029-40038, 2020 | 30 | 2020 |
| Fast object pose estimation using adaptive threshold for bin-picking W Yan, Z Xu, X Zhou, Q Su, S Li, H Wu IEEE Access 8, 63055-63064, 2020 | 28 | 2020 |
| A latent state-based multimodal execution monitor with anomaly detection and classification for robot introspection H Wu, Y Guan, J Rojas Applied Sciences 9 (6), 1072, 2019 | 27 | 2019 |
| Integration of visual information and robot offline programming system for improving automatic deburring process Z Lai, R Xiong, H Wu, Y Guan 2018 IEEE international conference on robotics and biomimetics (ROBIO), 1132 …, 2018 | 20 | 2018 |
| Robot introspection with bayesian nonparametric vector autoregressive hidden markov models H Wu, H Lin, Y Guan, K Harada, J Rojas 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017 | 18 | 2017 |
| Analysis of multimodal Bayesian nonparametric autoregressive hidden Markov models for process monitoring in robotic contact tasks H Wu, Y Guan, J Rojas International Journal of Advanced Robotic Systems 16 (2), 1729881419834840, 2019 | 17 | 2019 |
| Learning human-robot collaboration insights through the integration of muscle activity in interaction motion models L Chen, H Wu, S Duan, Y Guan, J Rojas 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017 | 16 | 2017 |
| Base frame calibration for multi-robot coordinated systems H Deng, H Wu, C Yang, Y Guan, H Zhang, J Liu 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1489 …, 2015 | 14 | 2015 |
| Incremental learning introspective movement primitives from multimodal unstructured demonstrations H Wu, Z Xu, W Yan, Q Su, S Li, T Cheng, X Zhou IEEE Access 7, 159022-159036, 2019 | 13 | 2019 |
| Kinect-based robotic manipulation: From human hand to end-effector H Wu, M Su, S Chen, Y Guan, H Zhang, G Liu 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA …, 2015 | 13 | 2015 |
| Endowing robots with longer-term autonomy by recovering from external disturbances in manipulation through grounded anomaly classification and recovery policies S Luo, H Wu, S Duan, Y Lin, J Rojas Journal of Intelligent & Robotic Systems 101 (3), 51, 2021 | 10 | 2021 |
| Recovering from external disturbances in online manipulation through state-dependent revertive recovery policies H Wu, S Luo, H Lin, S Duan, Y Guan, J Rojas 2018 27th IEEE International Symposium on Robot and Human Interactive …, 2018 | 10 | 2018 |
| Dynamic neural networks based adaptive optimal impedance control for redundant manipulators under physical constraints Z Xu, X Li, S Li, H Wu, X Zhou Neurocomputing 471, 149-160, 2022 | 8 | 2022 |
| A framework of robot skill learning from complex and long-horizon tasks H Wu, W Yan, Z Xu, T Cheng, X Zhou IEEE Transactions on Automation Science and Engineering 19 (4), 3628-3638, 2021 | 8 | 2021 |
| Fast, robust, and versatile event detection through HMM belief state gradient measures S Luo, H Wu, H Lin, S Duan, Y Guan, J Rojas 2018 27th IEEE International Symposium on Robot and Human Interactive …, 2018 | 8 | 2018 |
| A robotic off-line programming system based on solidworks H Wu, H Deng, C Yang, Y Guan, H Zhang, H Li 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1711 …, 2015 | 8 | 2015 |
| Learning robot anomaly recovery skills from multiple time-driven demonstrations H Wu, W Yan, Z Xu, S Li, X Zhou Neurocomputing 464, 522-532, 2021 | 7 | 2021 |
| Hyperparameter auto-tuning in self-supervised robotic learning J Huang, J Rojas, M Zimmer, H Wu, Y Guan, P Weng IEEE Robotics and Automation Letters 6 (2), 3537-3544, 2021 | 6 | 2021 |
| Incremental learning robot task representation and identification X Zhou, H Wu, J Rojas, Z Xu, S Li, X Zhou, H Wu, J Rojas, Z Xu, S Li Nonparametric Bayesian Learning for Collaborative Robot Multimodal …, 2020 | 6 | 2020 |
Zhihao XuGuangdong Academy of ScienceПотвърден имейл адрес: giim.ac.cn
