| Adaptive neural network control of AUVs with control input nonlinearities using reinforcement learning R Cui, C Yang, Y Li, S Sharma IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (6), 1019-1029, 2017 | 534 | 2017 |
| Mutual information-based multi-AUV path planning for scalar field sampling using multidimensional RRT R Cui, Y Li, W Yan IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (7), 993-1004, 2015 | 327 | 2015 |
| Neural network approximation based near-optimal motion planning with kinodynamic constraints using RRT Y Li, R Cui, Z Li, D Xu IEEE Transactions on Industrial Electronics 65 (11), 8718-8729, 2018 | 140 | 2018 |
| Neural network based reinforcement learning control of autonomous underwater vehicles with control input saturation R Cui, C Yang, Y Li, S Sharma 2014 UKACC International Conference on Control (CONTROL), 50-55, 2014 | 21 | 2014 |
| Liveness‐Based RRT Algorithm for Autonomous Underwater Vehicles Motion Planning Y Li, F Zhang, D Xu, J Dai Journal of Advanced Transportation 2017 (1), 7816263, 2017 | 16 | 2017 |
| Multi-robot path planning based on the developed RRT* algorithm Y Li, R Cui, C Yang, D Xu Proceedings of the 32nd Chinese Control Conference, 7049-7053, 2013 | 10 | 2013 |
| Trust-aware human–robot fusion decision-making for emergency indoor patrolling Y Li, J Xu, D Guo, H Liu IEEE Transactions on Automation Science and Engineering, 2024 | 2 | 2024 |
| Adversarial Decision Making Against Intelligent Targets in Cooperative Multiagent Systems Y Li, H Liu, F Sun, Z Chen IEEE Transactions on Cognitive and Developmental Systems 16 (1), 141-150, 2023 | 1 | 2023 |
| Risk-Aware Decision Making for Human–Robot Collaboration With Effective Communication Y Li, Y Wang, H Li, H Liu IEEE Transactions on Automation Science and Engineering, 2023 | | 2023 |