| 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 | 283 | 2016 |
| Human--Robot Collaboration Based on Motion Intention Estimation Y Li, SS Ge Mechatronics, IEEE/ASME Transactions on 19 (3), 1007 - 1014, 2014 | 224 | 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 | 199 | 2015 |
| 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 | 144 | 2017 |
| 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 | 133 | 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 | 128 | 2018 |
| Impedance Learning for Robots Interacting With Unknown Environments Y Li, SS Ge Control Systems Technology, IEEE Transactions on 22 (4), 1422 - 1432, 2014 | 117 | 2014 |
| Learning impedance control for physical robot–environment interaction Y Li, S Sam Ge, C Yang International Journal of Control 85 (2), 182-193, 2012 | 89 | 2012 |
| 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 | 87 | 2016 |
| 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 | 86 | 2010 |
| 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 | 69 | 2018 |
| Impedance adaptation for optimal robot–environment interaction SS Ge, Y Li, C Wang International Journal of Control 87 (2), 249-263, 2014 | 66 | 2014 |
| Adaptive control of robotic manipulators with unified motion constraints M Li, Y Li, SS Ge, TH Lee IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (1), 184-194, 2016 | 61 | 2016 |
| 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 | 59 | 2019 |
| Adaptive control of a class of discrete-time MIMO nonlinear systems with uncertain couplings C Yang, Y Li, SS Ge, TH Lee International Journal of Control 83 (10), 2120-2133, 2010 | 59 | 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, 2017 | 57 | 2017 |
| Adaptive Neural Control of MIMO Nonlinear Systems With a Block-Triangular Pure-Feedback Control Structure Z Chen, SS Ge, Y Zhang, Y Li IEEE Transactions on Neural Networks and Learning Systems 25 (11), 2017 - 2029, 2014 | 51 | 2014 |
| 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 | 45 | 2019 |
| Driver-automation indirect shared control of highly automated vehicles with intention-aware authority transition R Li, Y Li, SE Li, E Burdet, B Cheng 2017 IEEE Intelligent Vehicles Symposium (IV), 26-32, 2017 | 44 | 2017 |
| Force tracking control for motion synchronization in human-robot collaboration Y Li, SS Ge Robotica 34 (6), 1260-1281, 2016 | 44 | 2016 |
Sam GeNational University of SingaporeVerified email at nus.edu.sg
