| Obstacle avoidance and tracking control of redundant robotic manipulator: An RNN-based metaheuristic approach AH Khan, S Li, X Luo IEEE transactions on industrial informatics 16 (7), 4670-4680, 2019 | 246 | 2019 |
| BAS-ADAM: An ADAM based approach to improve the performance of beetle antennae search optimizer AH Khan, X Cao, S Li, VN Katsikis, L Liao IEEE/CAA Journal of Automatica Sinica 7 (2), 461-471, 2020 | 201 | 2020 |
| Intelligent beetle antennae search for UAV sensing and avoidance of obstacles Q Wu, X Shen, Y Jin, Z Chen, S Li, AH Khan, D Chen Sensors 19 (8), 1758, 2019 | 94 | 2019 |
| Zeroing neural dynamics for control design: comprehensive analysis on stability, robustness, and convergence speed L Xiao, S Li, FJ Lin, Z Tan, AH Khan IEEE Transactions on Industrial Informatics 15 (5), 2605-2616, 2018 | 85 | 2018 |
| Tracking control of redundant mobile manipulator: An RNN based metaheuristic approach AH Khan, S Li, D Chen, L Liao Neurocomputing 400, 272-284, 2020 | 75 | 2020 |
| Sliding mode control with PID sliding surface for active vibration damping of pneumatically actuated soft robots AH Khan, S Li IEEE access 8, 88793-88800, 2020 | 67 | 2020 |
| Optimal portfolio management for engineering problems using nonconvex cardinality constraint: A computing perspective AH Khan, X Cao, VN Katsikis, P Stanimirović, I Brajević, S Li, S Kadry, ... IEEE access 8, 57437-57450, 2020 | 64 | 2020 |
| A passivity-based approach for kinematic control of manipulators with constraints Y Zhang, S Li, J Zou, AH Khan IEEE Transactions on Industrial Informatics 16 (5), 3029-3038, 2019 | 49 | 2019 |
| Tracking control of redundant manipulator under active remote center-of-motion constraints: an RNN-based metaheuristic approach AH Khan, L Shuai, X Cao Science China Information Sciences 64 (3), 2021 | 48 | 2021 |
| Which is the best PID variant for pneumatic soft robots an experimental study. AH Khan, Z Shao, S Li, Q Wang, N Guan IEEE CAA J. Autom. Sinica 7 (2), 451-460, 2020 | 47 | 2020 |
| Repetitive motion planning of robotic manipulators with guaranteed precision D Guo, Z Li, AH Khan, Q Feng, J Cai IEEE Transactions on Industrial Informatics 17 (1), 356-366, 2020 | 46 | 2020 |
| Using social behavior of beetles to establish a computational model for operational management AH Khan, X Cao, S Li, C Luo IEEE Transactions on Computational Social Systems 7 (2), 492-502, 2020 | 29 | 2020 |
| Neural & bio-inspired processing and robot control AH Khan, S Li, X Zhou, Y Li, MU Khan, X Luo, H Wang Frontiers in neurorobotics 12, 72, 2018 | 15 | 2018 |
| Beetle antennae search: Using biomimetic foraging behaviour of beetles to fool a well-trained neuro-intelligent system AH Khan, X Cao, B Xu, S Li Biomimetics 7 (3), 84, 2022 | 11 | 2022 |
| Dynamic manipulation of pneumatically controlled soft finger for home automation AH Khan, S Li, X Zhou Measurement 170, 108680, 2021 | 10 | 2021 |
| A model-free approach for online optimization of nonlinear systems AH Khan, X Cao, B Xu, S Li IEEE Transactions on Circuits and Systems II: Express Briefs 69 (1), 109-113, 2021 | 9 | 2021 |
| Management and intelligent decision-making in complex systems: an optimization-driven approach AH Khan, X Cao, S Li Springer Nature, 2020 | 9 | 2020 |
| Multi-modal pre-training for medical vision-language understanding and generation: An empirical study with a new benchmark L Xu, B Liu, AH Khan, L Fan, XM Wu arXiv preprint arXiv:2306.06494, 2023 | 7 | 2023 |
| Real-time brain activation detection by FPGA implemented Kalman filter MS Nazir, M Aqil, A Mustafa, AH Khan, F Shams 2015 15th International Conference on Control, Automation and Systems (ICCAS …, 2015 | 3 | 2015 |
| Neural network and metaheuristic based learning and control of articulated robotic agents AH Khan Hong Kong Polytechnic University, 2021 | 2 | 2021 |
Shuai LiUniversity of Oulu, FinlandVerified email at oulu.fi
