| A learning framework of adaptive manipulative skills from human to robot C Yang, C Zeng, Y Cong, N Wang, M Wang IEEE Transactions on Industrial Informatics 15 (2), 1153-1161, 2018 | 157 | 2018 |
| Mind control of a robotic arm with visual fusion technology C Yang, H Wu, Z Li, W He, N Wang, CY Su IEEE Transactions on Industrial Informatics 14 (9), 3822-3830, 2017 | 138 | 2017 |
| The Multimodal Interface of Robot-Era Multi-Robot Services Tailored for the Elderly Alessandro Di Nuovo, Frank Broz, Ning Wang, Tony Belpaeme, Angelo Cangelosi ... Intelligent Service Robotics, 2017 | 119* | 2017 |
| Biologically inspired motion modeling and neural control for robot learning from demonstrations C Yang, C Chen, N Wang, Z Ju, J Fu, M Wang IEEE Transactions on Cognitive and Developmental Systems 11 (2), 281-291, 2018 | 108 | 2018 |
| Extracting and Selecting Distinctive EEG Features for Efficient Epileptic Seizure Prediction N Wang, MR Lyu IEEE Journal of Biomedical and Health Informatics 19 (5), 1648 - 1659, 2015 | 95 | 2015 |
| A review on manipulation skill acquisition through teleoperation‐based learning from demonstration W Si, N Wang, C Yang Cognitive Computation and Systems 3 (1), 1-16, 2021 | 82 | 2021 |
| Robust speaker recognition using denoised vocal source and vocal tract features N Wang, PC Ching, N Zheng, T Lee IEEE transactions on audio, speech, and language processing 19 (1), 196-205, 2010 | 70 | 2010 |
| Robot teaching by teleoperation based on visual interaction and extreme learning machine Y Xu, C Yang, J Zhong, N Wang, L Zhao Neurocomputing 275, 2093-2103, 2018 | 56 | 2018 |
| A constrained DMPs framework for robot skills learning and generalization from human demonstrations Z Lu, N Wang, C Yang IEEE/ASME Transactions on Mechatronics 26 (6), 3265-3275, 2021 | 53 | 2021 |
| A framework of hybrid force/motion skills learning for robots N Wang, C Chen, A Di Nuovo IEEE Transactions on Cognitive and Developmental Systems 13 (1), 162-170, 2020 | 50 | 2020 |
| Enhanced teleoperation performance using hybrid control and virtual fixture J Luo, C Yang, N Wang, M Wang International Journal of Systems Science 50 (3), 451-462, 2019 | 50 | 2019 |
| DCNN based human activity recognition framework with depth vision guiding W Qi, N Wang, H Su, A Aliverti Neurocomputing 486, 261-271, 2022 | 44 | 2022 |
| Implementation and test of human-operated and human-like adaptive impedance controls on baxter robot P Liang, C Yang, N Wang, Z Li, R Li, E Burdet Advances in Autonomous Robotics Systems: 15th Annual Conference, TAROS 2014 …, 2014 | 42 | 2014 |
| A unified parametric representation for robotic compliant skills with adaptation of impedance and force C Zeng, Y Li, J Guo, Z Huang, N Wang, C Yang IEEE/ASME Transactions on Mechatronics 27 (2), 623 - 633, 2021 | 36 | 2021 |
| Neural learning enhanced variable admittance control for human–robot collaboration X Chen, N Wang, H Cheng, C Yang Ieee Access 8, 25727-25737, 2020 | 36 | 2020 |
| Robot learning framework based on adaptive admittance control and generalizable motion modeling with neural network controller N Wang, C Chen, C Yang Neurocomputing 390, 260-267, 2020 | 35 | 2020 |
| Adaptive compliant skill learning for contact-rich manipulation with human in the loop W Si, Y Guan, N Wang IEEE Robotics and Automation Letters 7 (3), 5834-5841, 2022 | 24 | 2022 |
| Learning compliant robotic movements based on biomimetic motor adaptation C Zeng, X Chen, N Wang, C Yang Robotics and Autonomous Systems 135, 103668, 2021 | 24 | 2021 |
| Robot learning from multiple demonstrations with dynamic movement primitive C Chen, C Yang, C Zeng, N Wang, Z Li 2017 2nd International Conference on Advanced Robotics and Mechatronics …, 2017 | 22 | 2017 |
| Composite dynamic movement primitives based on neural networks for human–robot skill transfer W Si, N Wang, C Yang Neural Computing and Applications 35 (32), 23283-23293, 2023 | 19 | 2023 |
Chenguang YangChair Professor in Robotics, Fellow of IEEE, IET, IMechE, AIAA, BCSVerified email at ieee.org
