黎卫兵 副教授
邮箱：liwb53@mail.sysu.edu.cn
个人主页：https://cse.sysu.edu.cn/content/5721
中山大学“百人计划”引进人才，2018年获英国利兹大学机械工程博士学位，师从Robert Richardson教授（Chair of the EPSRC UK-RAS network, Director of the EPSRC National Facility for Innovative Robotic Systems），参与EPSRC资助的多个机器人相关科研项目。2018年至2020年于香港中文大学周毓浩创新医学技术中心从事博士后研究工作，参与香港研究资助局（RGC）和香港创新科技署（ITC）资助的多个医疗机器人相关科研项目，旨在促进医学、工程学和计算机科学的多学科交叉融合，以期转化科技成果至临床应用。善于机器人运动学和动力学分析以及控制理论推导，具有熟练的C/C++、Python和MATLAB编程技能，擅长运用ROS、Gazebo、V-REP、Webots、Solidworks等专业软件进行机器人的设计、建模和控制，同时拥有丰富的硬件实现及调试经验。相关研究成果已发表在机器人及人工智能领域国际顶级期刊如IEEE/ASME TMECH、IEEE TIE、IEEE TMRB、IEEE RA-L、IEEE TNNLS、IEEE TCYB、IEEE TSMC、IEEE TII和机器人国际顶级会议ICRA及IROS中。
研究领域:
医疗机器人、工业机器人、模块机器人（机器人方向涉及优化控制、视觉伺服、人机交互、自适应控制与学习、样机研制等）；神经网络（类脑计算、数值算法、深度学习）；运筹学与控制论
课题组与国内外多个研究机构如英国利兹大学及香港中文大学已建立长期稳定的合作与交流关系
长期欢迎对机器人及人工智能领域感兴趣的研究生和本科生加入课题组
长期招收计算机、电子信息、自动化、机械工程、生物医学工程（排名无先后）等相关领域的博士后研究人员与专职科研系列人员
代表性论著:
NOTE: # Co-first author, * Corresponding author
Weibing Li*; Yongping Pan; A Dini-derivative aided zeroing neural network for time-variant quadratic programming involving multi-type constraints with robotic applications, IEEE Transactions on Neural Networks and Learning Systems, 2023, to be published with DOI: 10.1109/TNNLS.2023.3263263
Weibing Li; Cheng Guo; Xin Ma*; Yongping Pan; A strictly predefined-time convergent and noise-tolerant neural model for solving linear equations with robotic application, IEEE Transactions on Industrial Electronics, 2023, to be published with DOI: 10.1109/TIE.2023.3241393
Weibing Li*; Philip Wai Yan Chiu; Zheng Li*; A novel neural approach to infinity-norm joint-velocity minimization of kinematically redundant robots under joint limits, IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(1): 409-420.
Weibing Li*#; Biao Song#; Yongping Pan; Comparisons of RCM generation algorithms for vision-controlled robotic endoscope, International Conference on Control and Robotics (ICCR), 2022: 222-228. (最佳论文奖)
Weibing Li*; Wing Yin Ng; Xue Zhang; Yisen Huang; Yehui Li; Chengzhi Song; Philip Wai Yan Chiu; Zheng Li*; A kinematic modeling and control scheme for different robotic endoscopes: A rudimentary research prototype, IEEE Robotics and Automation Letters, 2022, 7(4): 8885-8892.
Weibing Li*; Xin Ma; Jiawei Luo; Long Jin; A strictly predefined-time convergent neural solution to equality- and inequality-constrained time-variant quadratic programming, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2021, 51(7): 4028-4039.
Truman Cheng#; Weibing Li#; Wing Yin Ng; Yisen Huang; Jixiu Li; Calvin Sze Hang Ng; Philip Wai Yan Chiu; Zheng Li*; Deep learning assisted robotic magnetic anchored and guided endoscope for real-time instrument tracking, IEEE Robotics and Automation Letters paper presented at 2021 International Conference on Robotics and Automation (ICRA), 2021, 6(2): 3979-3986.
Xue Zhang#; Weibing Li#; Wing Yin Ng; Yisen Huang; Yitian Xian; Philip Wai Yan Chiu; Zheng Li*; An autonomous robotic flexible endoscope system with a DNA-inspired continuum mechanism, in: Proceedings of the 2021 International Conference on Robotics and Automation (ICRA), 2021, pp. 12055-12060.
Weibing Li; Truman Cheng; Minxin Ye; Calvin Sze Hang Ng; Philip Wai Yan Chiu; Zheng Li*; Kinematic modeling and visual servo control of a soft-bodied magnetic anchored and guided endoscope, IEEE/ASME Transactions on Mechatronics, 2020, 25(3): 1531-1542.
Weibing Li; Chengzhi Song; Zheng Li*; An accelerated recurrent neural network for visual servo control of a robotic flexible endoscope with joint limit constraint, IEEE Transactions on Industrial Electronics, 2020, 67(12): 10787-10797.
Weibing Li; Philip Wai Yan Chiu; Zheng Li*; An accelerated finite-time convergent neural network for visual servoing of a flexible surgical endoscope with physical and RCM constraints, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12): 5272-5284.
Xue Zhang#; Weibing Li#; Philip Wai Yan Chiu; Zheng Li*; A novel flexible robotic endoscope with constrained tendon-driven continuum mechanism, IEEE Robotics and Automation Letters, 2020, 5(2): 1366-1372.
Minxin Ye#; Weibing Li#; Danny Tat Ming Chan; Philip Wai Yan Chiu; Zheng Li*; A semi-autonomous stereotactic brain biopsy robot with enhanced safety, IEEE Robotics and Automation Letters paper presented at 2020 International Conference on Robotics and Automation (ICRA), 2020, 5(2): 1405-1412.
Weibing Li*; Lin Xiao; Bolin Liao*; A finite-time convergent and noise-rejection recurrent neural network and its discretization for dynamic nonlinear equations solving, IEEE Transactions on Cybernetics, 2020, 50(7): 3195-3207.
Zhiguo Tan; Weibing Li*; Lin Xiao; Yueming Hu*; New varying-parameter ZNN models with finite-time convergence and noise suppression for time-varying matrix Moore-Penrose inversion, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(8): 2980-2992.
Weibing Li*; Predefined-time convergent neural solution to cyclical motion planning of redundant robots under physical constraints, IEEE Transactions on Industrial Electronics, 2020, 67(12): 10732-10743.
Weibing Li*; Design and analysis of a novel finite-time convergent and noise-tolerant recurrent neural network for time-variant matrix inversion, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2020, 50(11): 4362-4376.
Weibing Li*; Robert C. Richardson; Jongrae Kim; A tri-state prismatic modular robotic system, Mechatronics, 2019, 64: 102287.
Weibing Li*; Zhizhuo Su; Zhiguo Tan; A variable-gain finite-time convergent recurrent neural network for time-variant quadratic programming with unknown noises endured, IEEE Transactions on Industrial Informatics, 2019, 15(9): 5330-5340.
Weibing Li*; A recurrent neural network with explicitly definable convergence time for solving time-variant linear matrix equations, IEEE Transactions on Industrial Informatics, 2018, 14(12): 5289-5298.