| Teleoperation control based on combination of wave variable and neural networks C Yang, X Wang, Z Li, Y Li, CY Su IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (8), 2125-2136, 2016 | 337 | 2016 |
| Human--Robot Collaboration Based on Motion Intention Estimation Y Li, SS Ge Mechatronics, IEEE/ASME Transactions on 19 (3), 1007 - 1014, 2014 | 329 | 2014 |
| Neural network control of a rehabilitation robot by state and output feedback W He, SS Ge, Y Li, E Chew, YS Ng Journal of Intelligent & Robotic Systems 80 (1), 15-31, 2015 | 258 | 2015 |
| Continuous role adaptation for human–robot shared control Y Li, KP Tee, WL Chan, R Yan, Y Chua, DK Limbu IEEE Transactions on Robotics 31 (3), 672-681, 2015 | 205 | 2015 |
| Neural networks enhanced adaptive admittance control of optimized robot–environment interaction C Yang, G Peng, Y Li, R Cui, L Cheng, Z Li IEEE transactions on cybernetics 49 (7), 2568-2579, 2018 | 190 | 2018 |
| Haptic identification by ELM-controlled uncertain manipulator C Yang, K Huang, H Cheng, Y Li, CY Su IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (8), 2398-2409, 2017 | 169 | 2017 |
| Human-robot co-carrying using visual and force sensing X Yu, W He, Q Li, Y Li, B Li IEEE Transactions on Industrial Electronics 68 (9), 8657-8666, 2020 | 155 | 2020 |
| Force, impedance, and trajectory learning for contact tooling and haptic identification Y Li, G Ganesh, N Jarrassé, S Haddadin, A Albu-Schaeffer, E Burdet IEEE Transactions on Robotics 34 (5), 1170-1182, 2018 | 153 | 2018 |
| Impedance Learning for Robots Interacting With Unknown Environments Y Li, SS Ge Control Systems Technology, IEEE Transactions on 22 (4), 1422 - 1432, 2014 | 150 | 2014 |
| A teleoperation framework for mobile robots based on shared control J Luo, Z Lin, Y Li, C Yang IEEE robotics and automation letters 5 (2), 377-384, 2019 | 138 | 2019 |
| A framework of human–robot coordination based on game theory and policy iteration Y Li, KP Tee, R Yan, WL Chan, Y Wu IEEE Transactions on Robotics 32 (6), 1408-1418, 2016 | 138 | 2016 |
| Differential game theory for versatile physical human–robot interaction Y Li, G Carboni, F Gonzalez, D Campolo, E Burdet Nature Machine Intelligence 1 (1), 36-43, 2019 | 129 | 2019 |
| Bayesian estimation of human impedance and motion intention for human–robot collaboration X Yu, W He, Y Li, C Xue, J Li, J Zou, C Yang IEEE transactions on cybernetics 51 (4), 1822-1834, 2019 | 120 | 2019 |
| Learning impedance control for physical robot–environment interaction Y Li, S Sam Ge, C Yang International Journal of Control 85 (2), 182-193, 2012 | 108 | 2012 |
| Adaptive output feedback NN control of a class of discrete-time MIMO nonlinear systems with unknown control directions Y Li, C Yang, SS Ge, TH Lee IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2010 | 93 | 2010 |
| A brief review of neural networks based learning and control and their applications for robots Y Jiang, C Yang, J Na, G Li, Y Li, J Zhong Complexity 2017 (1), 1895897, 2017 | 90 | 2017 |
| Automatic obstacle avoidance of quadrotor UAV via CNN-based learning X Dai, Y Mao, T Huang, N Qin, D Huang, Y Li Neurocomputing 402, 346-358, 2020 | 87 | 2020 |
| Simultaneously encoding movement and sEMG-based stiffness for robotic skill learning C Zeng, C Yang, H Cheng, Y Li, SL Dai IEEE Transactions on Industrial Informatics 17 (2), 1244-1252, 2020 | 86 | 2020 |
| Impedance adaptation for optimal robot–environment interaction SS Ge, Y Li, C Wang International Journal of Control 87 (2), 249-263, 2014 | 85 | 2014 |
| Current-cycle iterative learning control for high-precision position tracking of piezoelectric actuator system via active disturbance rejection control for hysteresis compensation D Huang, D Min, Y Jian, Y Li IEEE Transactions on Industrial Electronics 67 (10), 8680-8690, 2019 | 79 | 2019 |
Sam GeNational University of SingaporeZweryfikowany adres z nus.edu.sg