研究方向三维视觉、机器人 AI教育背景⚫ 2013.09 – 2016.07 广东工业大学硕士⚫ 2009.09 – 2013.07 华中科技大学文华学院学士姓名证件类型身份证民族汉身份证(外籍填写护照)号码职称性别男职务无博士后出站/在站/否否出生日期1991年10月办公电话是否博导否学位硕士所在单位是否在读硕/博研究生否email现从事专业计算机视觉开发移动电话学历硕士研究生获得最终学位院校广东工业大学最高学位授予国别或地区中国一、文章[1]C. Chen, L. Chen, X. Zhou andW. Yan, Controlling a robot using leap motion,2017 2nd International Conference on Robotics and Automation Engineering (ICRAE), Shanghai, China, 2017, pp. 48-51, doi: 10.1109/ICRAE.2017.8291351.[2]鄢武,唐观荣,苏泽荣,蔡奕松,文享龙.基于三维视觉的随机工件识别与姿态估计[J].科技视界,2019(19):666.[3]Yan W, Xu Z, Zhou X, et al. Fast Object Pose Estimation Using Adaptive Threshold for Bin-Picking[J]. IEEE Access, 2020, 8: 63055-63064.[4]Yan W, Xu C, Wu H, et al. Real Time Volume Measurement of Logistics Cartons Through 3D Point Cloud Segmentation[C]//Intelligent Robotics and Applications: 14th International Conference, ICIRA 2021, Yantai, China, October 22–25, 2021, Proceedings, Part III. 2021: 324-335.[5] 蔡奕松,鄢武,孙克争,等.基于3D虚拟引擎的无线数据触觉手套系统[J].自动化与信息工程,2021,42(02):31-33.[6]Yan W, Liu D, Zhai X, et al. Sample Augmentation and Orientation-aware Deep Neural Network for Logistics Objects Detection[C]//2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2023: 948-953.[7]Wu H,Yan W, Xu Z, et al. A framework of improving human demonstration efficiency for goal-directed robot skill learning[J]. IEEE Transactions on Cognitive and Developmental Systems, 2021, 14(4): 1743-1754.[8]Wu H,Yan W, Xu Z, et al. A framework of robot skill learning from complex and long-horizon tasks[J]. IEEE Transactions on Automation Science and Engineering, 2021, 19(4): 3628-3638.[9]Wu H,Yan W, Xu Z, et al. Learning robot anomaly recovery skills from multiple time-driven demonstrations[J]. Neurocomputing, 2021, 464: 522-532.[10]Liao Z, Xu Z, Wang Q,Yan W, et al. Integrated robotic measurement and machining technology for large castings[C]//International Conference on Mechanical Engineering, Measurement Control, and Instrumentation. SPIE, 2021, 11930: 599-607.[11]Yang L,Yan W, Xu Z, et al. Robot multimodal anomaly diagnosis by learning time-lagged complex dynamics[C]//2021 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2021: 509-514.[12]Yang L,Yan W, Wu H. Comparison of deep learning-based methods in multimodal anomaly detection: A case study in human–robot collaboration[J]. Science Progress, 2021, 104(2): 00368504211021192.[13]Wu H, Xu Z,Yan W, et al. Incremental learning introspective movement primitives from multimodal unstructured demonstrations[J]. IEEE Access, 2019, 7: 159022-159036.[14]Xu Z, Li S, Zhou X,Yan W, et al. Dynamic neural networks based kinematic control for redundant manipulators with model uncertainties[J]. Neurocomputing, 2019, 329: 255-266.[15]二、专利[1]鄢武,周雪峰,徐保来,等.机器人归航定位方法与系统[P].广东省: CN201710108583.3, 2020-08-11. 授权[2]鄢武,王达,周雪峰,等.生产线物体分拣方法、系统和物体分拣系统[P].广东省: CN201811095095.4, 2020-08-11. 授权[3]鄢武,周雪峰,徐智浩,等.基于三维视觉技术的物体尺寸测量方法及装置[P].广东省: CN201910042423.2, 2021-12-03. 授权[4]鄢武,吴鸿敏,孙克争,等.分层式手眼标定机器人运动位姿自动生成方法、系统、设备和介质[P]. 广东省: CN202310064212.5, 2023-04-04. 授权[5]鄢武,吴鸿敏,周雪峰,等.一种视觉感知的混叠边界模糊物体空间位姿估计系统[P]广东省:CN202410617384.5 (受理)[6]吴鸿敏,鄢武,徐智浩,等.一种视觉感知的机器人自主抓取技能学习系统及方法[P].广东省: CN202211652001.5,2023-01-20. 授权[7]吴鸿敏,周雪峰,鄢武,等.一种可扩展的机器人仿人精准抓取技能学习方法及系统[P].广东省:CN202410623267.X,2024-07-12. 实审[8]苏泽荣,周雪峰,鄢武,等.一种用于足式机器人动态运动的地形识别方法及系统[P]. 广东省:CN201911402644.2,2022-07-29. 授权[9]吴鸿敏,徐智浩,鄢武,等.一种足式机器人多模态感知的异常监测方法[P]. 广东省:CN201911399157.5,2020-05-29. 授权三、软件著作权2018SR192716 基于三维视觉的工业分拣软件V1.02018SR757550 协作机器人拖拽示教软件V1.02019SR0177836 基于三维视觉的物体尺寸测量软件V1.02019SR1266793 饭金切割自动排料软件V1.02021SR0456417 机器人与相机手眼标定软件 V1.0四、获奖情况人工智能背后的“网”广东省首届科普讲解大赛三等奖2019康复理疗机器人仿人技能学习与柔顺控制关键技术及应用广东省机器人科学技术二等奖排名 6/102024无人机等智能装备质量安全评价与关键技术中国商业联合会科学技术发明三等奖排名6/62024