| Neural RRT*: Learning-based optimal path planning J Wang, W Chi, C Li, C Wang, MQH Meng IEEE Transactions on Automation Science and Engineering 17 (4), 1748-1758, 2020 | 300 | 2020 |
| EB-RRT: Optimal motion planning for mobile robots J Wang, MQH Meng, O Khatib IEEE Transactions on Automation Science and Engineering 17 (4), 2063-2073, 2020 | 106 | 2020 |
| A generalized Voronoi diagram-based efficient heuristic path planning method for RRTs in mobile robots W Chi, Z Ding, J Wang, G Chen, L Sun IEEE Transactions on Industrial Electronics 69 (5), 4926-4937, 2021 | 85 | 2021 |
| Kinematic Constrained Bi-directional RRT with Efficient Branch Pruning for robot path planning J Wang, B Li, MQH Meng Expert Systems with Applications 170, 114541, 2021 | 81 | 2021 |
| Optimal path planning using generalized voronoi graph and multiple potential functions J Wang, MQH Meng IEEE transactions on industrial electronics 67 (12), 10621-10630, 2020 | 80 | 2020 |
| Risk-DTRRT-based optimal motion planning algorithm for mobile robots W Chi, C Wang, J Wang, MQH Meng IEEE Transactions on Automation Science and Engineering 16 (3), 1271-1288, 2018 | 69 | 2018 |
| Efficient object search with belief road map using mobile robot C Wang, J Cheng, J Wang, X Li, MQH Meng IEEE Robotics and Automation Letters 3 (4), 3081-3088, 2018 | 52 | 2018 |
| A survey of the development of biomimetic intelligence and robotics J Wang, W Chen, X Xiao, Y Xu, C Li, X Jia, MQH Meng Biomimetic Intelligence and Robotics 1, 100001, 2021 | 47 | 2021 |
| Generative adversarial network based heuristics for sampling-based path planning T Zhang, J Wang, MQH Meng IEEE/CAA Journal of Automatica Sinica 9 (1), 64-74, 2021 | 41 | 2021 |
| SARL: Deep reinforcement learning based human-aware navigation for mobile robot in indoor environments K Li, Y Xu, J Wang, MQH Meng 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), 688-694, 2019 | 41 | 2019 |
| Finding a high-quality initial solution for the RRTs algorithms in 2D environments J Wang, W Chi, M Shao, MQH Meng Robotica 37 (10), 1677-1694, 2019 | 41 | 2019 |
| A survey of learning‐based robot motion planning J Wang, T Zhang, N Ma, Z Li, H Ma, F Meng, MQH Meng IET Cyber‐Systems and Robotics 3 (4), 302-314, 2021 | 38 | 2021 |
| Continuous systolic and diastolic blood pressure estimation utilizing long short-term memory network FPW Lo, CXT Li, J Wang, J Cheng, MQH Meng 2017 39th annual international conference of the IEEE engineering in …, 2017 | 38 | 2017 |
| GMR-RRT*: Sampling-based path planning using gaussian mixture regression J Wang, T Li, B Li, MQH Meng IEEE Transactions on Intelligent Vehicles 7 (3), 690-700, 2022 | 34 | 2022 |
| Conditional generative adversarial networks for optimal path planning N Ma, J Wang, J Liu, MQH Meng IEEE Transactions on Cognitive and Developmental Systems 14 (2), 662-671, 2021 | 28 | 2021 |
| Socially compliant path planning for robotic autonomous luggage trolley collection at airports J Wang, MQH Meng Sensors 19 (12), 2759, 2019 | 28 | 2019 |
| Safe and robust mobile robot navigation in uneven indoor environments C Wang, J Wang, C Li, D Ho, J Cheng, T Yan, L Meng, MQH Meng Sensors 19 (13), 2993, 2019 | 27 | 2019 |
| An improved RRT algorithm incorporating obstacle boundary information J Wang, X Li, MQH Meng 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), 625-630, 2016 | 21 | 2016 |
| Robot path planning via neural-network-driven prediction J Wang, J Liu, W Chen, W Chi, MQH Meng IEEE transactions on artificial intelligence 3 (3), 451-460, 2021 | 20 | 2021 |
| Bi-Risk-RRT based efficient motion planning for autonomous ground vehicles H Ma, F Meng, C Ye, J Wang, MQH Meng IEEE Transactions on Intelligent Vehicles 7 (3), 722-733, 2022 | 16 | 2022 |
Max Q.-H. MengSouthern University of Science and TechnologyVerified email at ieee.org
