研究领域：人工智能、智能车、机器人

研究方向：1. 环境感知 ； 2. 规划决策 与控制； 3. 多智能体协同； 4. 能量管理与优化

欢迎有志从事智能车、机器人及其他智能系统方向的热爱科研的学生加入课题组。

聚焦面向实际问题的应用基础研究，兼具工程应用价值+学科前沿。

• 招收专业：人工智能、自动化、电子信息、计算机应用、机械电子、车辆工程等相关专业的学生招收电子信息、控制工程、计算机应用等专业硕士生
• 报考方式：保送/公考
• 招生专业：电子信息，模式识别与智能系统，计算机应用技术，控制科学与工程等

JOURNAL PAPERS：

• Wang Z, Zhang E, Li F, et al. BDRP: A Binary Divisive Recursive Planner for Path Planning[J]. IEEE Robotics and Automation Letters, 2026.
• LIU J, CUI Y, DUAN J, et al. Reinforcement Learning-Based High-Speed Path Following Control for Autonomous Vehicles [J]. IEEE Transactions on Vehicular Technology, 2024.
• LIANG Q, LIU J, JIANG Z, et al. Limited information aggregation for collaborative driving in multi-agent autonomous vehicles [J]. IEEE Robotics and Automation Letters, 2024, 9(7): 6624-31.
• Hu Y, Xu H, Jiang Z, et al. Supplementary learning control for energy management strategy of hybrid electric vehicles at scale[J]. IEEE Transactions on Vehicular Technology, 2023, 72(6): 7290-7303.
• CUI Y, XU K, ZHENG C, et al. Flexible unmanned surface vehicles control using probabilistic model-based reinforcement learning with hierarchical Gaussian distribution [J]. Ocean Engineering, 2023, 285: 115467.
• ZHENG C, LI W, LI W, et al. A deep reinforcement learning-based energy management strategy for fuel cell hybrid buses [J]. International Journal of Precision Engineering and Manufacturing-Green Technology, 2022, 9(3): 885-97.
• Zahid T, Xu K, Li W M, Li C M, Li H Z. State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles [J]. Energy, 2018, 162：871-882.
• Xu G, Xu K, Zheng C, Zhang X, Zahid T. Fully Electrified Regenerative Braking Control for Deep Energy Recovery and Maintaining Safety of Electric Vehicles [J]. IEEE Transactions on Vehicular Technology, 2016, 65(3): 1186-1198.
• Xu G, Xu K, Zheng C, Zahid T. Optimal Operation Point Detection Based on Force Transmitting Behavior for Wheel Slip Prevention of Electric Vehicles [J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(2): 481-490.
• Zheng C, Xu G, Xu K, Pan Z, Liang Q. An energy management approach of hybrid vehicles using traffic preview information for energy saving [J]. Energy Conversion and Management, 2015, 105: 462-470.
• Xu K, Xu G, Zheng C. Novel Determination of Wheel-Rail Adhesion Stability for Electric Locomotives [J]. International Journal of Precision Engineering and Manufacturing, 2015, 16(4): 653-660.
• Xu K, Xu G-Q, Zheng C-H. Analysis of torque transmitting behavior and wheel slip prevention control during regenerative braking for high speed EMU trains [J]. Acta Mechanica Sinica, 2016, 32(2): 244-251.
• Zahid T, Xu K, Li W. Machine learning an alternate technique to estimate the state of charge of energy storage devices [J]. Electronics Letters, 2017, 53(25): 1665-1666.
• Xu G, Xu K, Li W. Novel estimation of tyre-road friction coefficient and slip ratio using electrical parameters of traction motor for electric vehicles [J]. International Journal of Vehicle Autonomous Systems, 2013, 11(2/3): 261.
• 吕迪, 徐坤*, 李慧云,等. 融合类人驾驶行为的无人驾驶深度强化学习方法[J]. 集成技术, 2020(5).
• 徐坤, 骆媛媛, 杨影,等. 分布式电驱动车辆状态感知与控制研究综述[J]. 机械工程学报, 2019(22).
•  徐国卿, 王玉琴, 杨影, & 徐坤*. 复杂动态路面的电动轮附着状态识别与稳定控制策略研究. 机械工程学报, 55(22)，2019
• 张艳辉, 徐坤, 郑春花, 冯伟, 徐国卿. 智能电动汽车信息感知技术研究进展，仪器仪表学报 [J]. 2017, 38 (04): 794-805.
• 杨家红, 刘元元, 单晋婷, 徐坤, 陈越立. 应用融合框架的压缩感知信号重构方法，小型微型计算机系统 [J]. 2014, 35(08): 1885-1890.
• 徐国卿, 徐坤, 张琦, 郑春花, 梁嘉宁, 周翊民. 论电动汽车的发展趋势(英文) ，集成技术 [J]. 2014, 3(01): 1-17.
• 徐国卿, 徐坤, 李卫民. 电动汽车动力学控制研究进展，集成技术 [J]. 2012, 1(01): 6-14.

CONFERENCE PAPERS：

• MA C, ZHANG E, WANG Z, XU K. Enhancing LiDAR Localization in Perceptually Degraded Environments Through Multi-anchor UWB Integration; proceedings of the CCF Intelligent Vehicles Symposium, F, 2024 [C].
• LI X, LONG X, MAO Y, et al. Tightly-Coupled LiDAR-Inertial-Range Odometry for Reducing Trajectory Drift; proceedings of the 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO), F, 2024 [C].
• IKRAM M, LIU L, SHEN Q, et al. Data-Driven Approach for Accurate Wheel Slip Ratio Estimation in Electric Vehicles: Performance Comparison and Validation Analysis; proceedings of the 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), F, 2024 [C].
• ZHANG Y, ZHANG X, FENG S, et al. Robust Tracking and Localization using Stable Features of Static Planes in Dynamic Scenes; proceedings of the 2023 IEEE International Conference on Real-time Computing and Robotics (RCAR), F, 2023 [C].
• SHEN Q, XIANG G, FENG S, et al. End-to-end Multi-Objective Deep Reinforcement Learning for Autonomous Navigation; proceedings of the 2023 IEEE International Conference on Real-time Computing and Robotics (RCAR), F, 2023 [C].
• Deng Y, Xu K, Hu Y, et al. Learning Effectively from Intervention for Visual-based Autonomous Driving[C]//2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022: 01-06.
• Liu D, Xu K, Cui Y, et al. Learning-based Motion Control of Autonomous Vehicles Considering Varying Adhesion Road Surfaces[C]//2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022: 4259-4264.
• Xu K, Huang Z, Xu G. Regenerative Braking with Direct Adhesion Control for Distributed Drive Electric Vehicles[C]//2021 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2021: 1664-1669.
• Xiao, W. , J Zou, Li, H. , & Xu, K*. . (2019). Smooth Trajectory Tracking Using Longitudinal Distance Constraint for A 4WS4WD Unmanned Ground Vehicle *. 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE.
• Sun, H. , Li, H. , Li, Y. , Song, Z. , & Xu, K*. . (2019). Accelerating the Validation of Motion Control for a 4WD4WS Ground Vehicle Using a Hierarchical Controller Hardware-in-the-loop System. 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE.
• Xu K, Xu G, Zheng C, et al. A novel adhesion stability detection methodology and slip prevention control strategies for wheeled ground vehicles [C], IEEE International Conference on Robotics & Biomimetics. IEEE, 2015.
• Zhou Y, Xu G, Qin F, Xu K, Wang G, Ou Y, Lin G, Zhang Q. The prospect of smart cars: Intelligent structure and human-machine interaction [C]. Proceedings of the 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013: 1899-1904.
•  Chen J, Xu G, Xu K, Li W. Traction control for electric vehicles: A novel control scheme [C]. Proceedings of the 2012 IEEE International Conference on Information and Automation, 2012: 367-372.
• Kun X, Guoqing X, Weimin L, Linni J, Zhibin S. Anti-skid for Electric Vehicles based on sliding mode control with novel structure [C]. Proceedings of the 2011 IEEE International Conference on Information and Automation, 2011: 650-655.
• Qian H, Xu G, Yan J, Lam T L, Xu Y, Xu K, Energy Management for Four-Wheel Independent Driving Vehicle [M]. IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems. 2010: 5532-5537.



学术著作：

1. 电动汽车—能量转换与动力控制, 科学出版社, 2016