Hi, there! I am Fei MENG. I received my Ph.D. from The Chinese University of Hong Kong (CUHK), supervised by Prof. Max Q.-H. MENG and Prof. Hongliang REN. Before that, I received the M.Eng. and B.Eng. both from Harbin Institute of Technology (HIT), working with Prof. Guangfu MA. My research interests include learning-based motion planning and control. Download my CV.

News

• 08/2024 One paper is accepted to IEEE RA-L.
• 06/2024 One paper is accepted to 2024 IEEE IROS.
• 02/2024 One paper is accepted to IEEE T-IE.
• 01/2024 Our IEEE T-ASE 2023 paper is also with 2024 IEEE ICRA.
• 07/2023 One paper is accepted to IEEE T-ASE.
• 05/2023 One IEEE T-ASE 2022 paper is also with 2023 IEEE CASE.
• 06/2023 One paper is accepted to BIROB.

Publications

• F. MENG, J. LIU, H. SHI, H. MA, H. REN*, Max Q.-H. MENG*. Online Time-Informed Kinodynamic Motion Planning of Nonlinear Systems. [Code]. IEEE Robotics and Automation Letters, 2024
• J. LIU, G. LI, X. MAO, F. MENG, J. MEI, Max Q.-H. MENG*. SparseGTN: Human Trajectory Forecasting with Sparsely Represented Scene and Incomplete Trajectories. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems
• Y. Yang, F. MENG, Z. MENG, C. YANG*. RAMPAGE: Towards Whole-body, Real-Time and Agile Motion Planning in Unknown Cluttered Environments for Mobile Manipulators. IEEE Transactions on Industrial Electronics, 2024
• F. MENG, L. CHEN, H. MA, J. WANG*, Max Q.-H. MENG*. Learning-based Risk-Bounded Path Planning Under Environmental Uncertainty. IEEE Transactions on Automation Science and Engineering, 2023 (also with IEEE ICRA 2024)
• C. Li, F. MENG, H. MA, J. WANG*, Max Q.-H. MENG*. Relevant Region Sampling Strategy with Adaptive Heuristic for Asymptotically Optimal Path Planning. Biomimetic Intelligence and Robotics, 2023
• L. CHEN, F. MENG, Y. ZHANG*. Fast Human-in-the-loop Control for HVAC Systems via Meta-learning and Model-based Offline Reinforcement Learning. IEEE Transactions on Sustainable Computing, 2023
• F. MENG, L. CHEN, H. MA, J. WANG*, Max Q.-H. MENG*. NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain Nonconvex Environments. IEEE Transactions on Automation Science and Engineering, 2022 (also with IEEE CASE 2023)
• L. CHEN, F. MENG, Y. ZHANG*. MBRL-MC: An HVAC Control Approach via Combining Model-based Deep Reinforcement Learning and Model Predictive Control. IEEE Internet of Things Journal, 2022
• H. MA, F. MENG, J. WANG*, Max Q.-H. MENG*. Bi-Risk-RRT Based Efficient Motion Planning for Mobile Robots. IEEE Transactions on Intelligent Vehicles, 2022
• F. BAI, F. MENG, J. LIU, J. WANG, Max Q.-H. MENG*. Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search. Biomimetic Intelligence and Robotics, 2022
• J. WANG, T. ZHANG, N. MA, H. MA, F. MENG, Max Q.-H. MENG*. A Survey of Learning-based Robot Motion Planning. IET Cyber-Systems and Robotics, 2021.
• Y. XU, K. LI, Z. ZHAO, F. MENG, Max Q.-H. MENG*. Reciprocally Rotating Magnetic Actuation and Automatic Trajectory Following for Wireless Capsule Endoscopy. 2021 IEEE International Conference on Robotics and Automation
• H. MA, J. LIU, F. MENG, J. PAN, J. WANG*, Max Q.-H. MENG*. A Nonuniform Sampling Strategy for Path Planning Using Heuristic-based Certificate Set. 2021 IEEE International Conference on Robotics and Biomimetics
• F. MENG, Y. Lyu*, G. MA, Y. ZHU. A Model-free Adaptive Controller for Biomimetic Pneumatically Actuated Continuum Manipulators. 2018 IEEE International Conference on Robotics and Biomimetics