王鸿鹏

2019年06月25日 10:09  点击:[]

基本信息

姓名:王鸿鹏

性别:

所属部门:机器人与信息自动化研究所

行政职务:

职称:副教授

学历:博士

所学专业:智能科学与技术

办公电话:23505706-815

电子邮件:hpwang@nankai.edu.cn, hopwang@gmail.com

研究方向:人工智能与智能机器人技术、虚拟仿真与智能交互技术、云机器人与大数据可视化技术、自然与生态环境智能监测等

个人简介


王鸿鹏 副教授,硕士生导师, IEEE RAS会员

现任南开大学人工智能学院实验教学中心主任、计算机与控制工程国家级虚拟仿真实验教学中心副主任、南开大学虚拟仿真实验教学中心主任。

个人主页:http://robot.nankai.edu.cn/hpwang

1、个人简介:
----------------------------------------------------------------------------------------------
2009.07-至今, 南开大学, 人工智能学院,机器人与信息自动化研究所/天津市智能机器人技术重点实验室, 教师
2016.03-2017.03, 美国德州农工大学, 计算机科学与工程学院, 访问学者/博士后 (2016.03-2017.03)
2014.06-2016.12, 南开大学, 计算机与控制工程学院计算机科学与技术系, 博士后
2007.09-2008.09, 美国德州农工大学, 计算机科学与工程学院, 联合培养博士生
2006.09-2009.07, 南开大学, 信息技术科学学院, 博士
2004.09-2006.08, 南开大学, 信息技术科学学院, 硕士生(2006.09转攻博)
2000.09-2004.07, 中国信息产业研究院中国软件评测中心, 监理工程师
1996.09-2000.08, 南开大学, 物理学系, 学士

Hongpeng Wang received the B.S. degree in physics, and the Ph.D degree in Control Theory & Control Engineering from Nankai University, Tianjin, China, in 2000 and 2009, respetively. Dr. Wang is currently an faculty in Institute of Robotics & Automatic Information System at Nankai University. His research interests include Robotics and intelligent systems, cloud based/networked nature tele-observation, virtual robot development platform, et al. Dr. Wang was a visiting research fellow at the NetBot Lab, Department of Computer Science and Engineering,Texas A&M University during 2007-2008. He is a menber of the IEEE Robotics and Automation Society.
----------------------------------------------------------------------------------------------

2、研究兴趣
----------------------------------------------------------------------------------------------
1) 机器人与智能系统 Autonomous Robotics Systems
2) 云/网络/遥操作机器人技术 Cloud/Networked/Teleoperation Robot Systems.
3) 机器人控制与仿真Augment Reality & Virtual Reality System
4) 智能技术:应用于自然生态环境智能化监测、分布式机器人系统、物联网/云架构服务平台、虚拟机器人开发平台、地理信息与数据可视化等。 Intelligence Science and Engineering, with Application to nature ecology and environment surveillance system
----------------------------------------------------------------------------------------------

3、课题组简介
----------------------------------------------------------------------------------------------
本课题组主要围绕机器人与智能系统、云/网络/遥操作机器人技术、机器人仿真与控制、自然生态环境智能化监测等科学与技术领域开展研究工作,目前具备多旋翼无人机试验系统(多套)、高速移动机器人实验系统、虚拟机器人开发软件等研究平台。

课题组当前设立了如下实验室:
1) 野外与空中机器人实验室 Field and Aerial Robotic (FAR) Lab in Nankai;
2) 机器人控制与仿真实验室 Robotic Control and Simulation (RCS) Lab in Nankai;
3) 生态智能学工程研究中心 Ecology Intelligence Research (EIR) Center in Nankai

本课题组与刘景泰教授、孙雷副教授、许林副教授、于宁波副教授共同组成了南开大学机器人所“机器人与智能系统”研究团队,共同进行研究生招生与培养。课题组与机器人所其他教师也有长期、深入的科研合作关系。

课题组在读研究生:


1)、何树宝(2016级学硕),研究方向为基于视觉的空中机器人自主起降、充电与多无人机协调,shubao@mail.nankai.edu.cn
2)、宋玉琳(2016级学硕),研究方向为基于深度学习的野外动物目标智能识别技术,songyulin@mail.nankai.edu.cn
3)、李鹏鹏(2016级学硕),研究方向为高速高机动移动机器人感知、规划与控制,lpp@mail.nankai.edu.cn
4)、朱明月(2016级学硕),研究方向为野外环境下轮式移动机器人感知、规划、控制与空地协调。zhumingyue@mail.nankai.edu.cn
5)、张世勇(2017级学硕),研究方向为空中机器人广域场景最优化视觉覆盖技术,XXX@mail.nankai.edu.cn
6)、朱锦潮(2017级学硕),研究方向为野外场景下野生动物目标动态检测与跟踪技术。XXX@mail.nankai.edu.cn
7)、韩霄(2018级学硕),研究方向为面向自主巡护的野外全地形无人车运动规划与控制,XXX@mail.nankai.edu.cn
8)、代婉(2018级学硕),研究方向为基于GPU的深度神经网络实时在线认知技术。XXX@mail.nankai.edu.cn
9)、田丙杰(2018级专硕),研究方向为自然与生态环境智能监测系统设计与优化。XXX@mail.nankai.edu.cn


即将进入课题组人员:
1)、张晓阳(2019级学硕),当前研究方向为基于开源框架的智能系统虚拟仿真开发平台设计与实现。XXX@mail.nankai.edu.cn
2)、李耀晶(2019级学硕),当前研究方向为多光谱视觉与激光融合的室内外环境重建技术。XXX@mail.nankai.edu.cn


已毕业研究生:
李斌、李宝炯、杨云、严寅辉、赵磊、冯凯、胡怡芳、乔青翠、李国鑫、张普、王梁, 韩丹华, 张成, 李汉振, 徐福来, 赵林生等
----------------------------------------------------------------------------------------------

欢迎有兴趣参加本课题组研究工作的同学,或希望通过保送、报考方式进入课题组进行学习的同学,直接与本人通过email联系,邮件地址:hpwang@nankai.edu.cn; hopwang@gmail.com。

欢迎来实验室参观交流:
地址:南开大学津南校区,信息东楼,计算机与控制工程学院/机器人与信息自动化研究所,119(野外与空中机器人实验室)、212(机器人控制与仿真实验室)/201-10(办公室);综合实验楼C216(南开大学校虚拟仿真实验教学中心)

科研项目、成果、获奖、专利


主要主持科研项目
[1]. 南开大学虚拟仿真实验教学平台建设(2017-2019)
[2]. 基于视觉的网络遥观测机器人动物目标特征建模与种类辨别,机器人学国家重点实验室基金课题(2013-O02),2013.11-2014.11;
[3]. 基于自主漂移技术的高机动轮式机器人极限性能研究,国家自然科学基金青年科学基金项目(61106096),2012.01-2014.12;
[4]. 高性能四足机器人仿生设计与系统集成,国家高技术研究发展计划(863计划)重点项目子课题(2011AA041002),2011.01-2012.12
[5]. 轮式滑动转向移动机器人高速下可控漂移技术研究,南开大学科技创新基金,2011.07-2013.06

主要主持教改项目
[5]. “智能科学与技术”特色实验教育,南开大学2014年新专业建设项目,2014.03-2015.03

主要主持横向项目
[6]. RB08型工业机器人系统技术开发,横向合作,2011.08-2012.12
[7]. 四足运输机器人单腿运动学建模、动力学分析、液压系统分析及结构优化设计研究,横向合作,2012.01-2014.12
[8]. 唐家河生态因子监测系统建设项目可行性研究报告,横向合作,2013.11-2014.03
[9]. 四川王朗国家级自然保护区信息系统建设规划,横向合作,2014.02-2014.06

主要参与科研项目
[10]. 基于网络遥观测机器人的野外生态观测技术研究,国家自然科学基金面上项目(61305087),2014.01-2017.12
[11]. 机器人标准化/模块化关键技术及应用平台开发:机器人模块化单元技术,国家高技术研究发展计划(863计划)重点项目子课题(2012AA041403),2012.01-2014.12
[12]. 基于机器视觉和惯性测量的轮式滑动转向移动机器人定位导航与遥感知,国家自然科学基金面上项目(60875056),2009.01-2011.12

撰写论文、专著、教材等

期刊
[1] 赵林生,王鸿鹏,刘景泰.人机共享环境下基于Wi-Fi指纹的室内定位方法,机器人,2019
[2] 徐福来,王鸿鹏,张普,赵仲奇,刘景泰,基于贝叶斯模型与最佳伙伴相似度量的目标跟踪 [J],计算机应用研究. 2018 年第 35 卷第 8 期.
[3] Li, Hai Feng, H. P. Wang, and J. T. Liu. "Error aware multiple vertical planes based visual localization for mobile robots in urban environments." Science China 58.3(2015),pp.1-14.
[4] 赵磊, 王鸿鹏, 董良, 刘景泰, 一种基于动力学模型的高速轮式移动机器人漂移运动控制方法[J]. 机器人, vol. 36, no. 2, March 2014, pp. 137-146
[5] 钱海力,王鸿鹏,张森,陈新伟,刘景泰. 面向数据过程的机器人3 维喷绘作业工艺的设计与优化[J]. 机器人,2013,06:678-685
[6] 李海丰,王鸿鹏,刘景泰. 城市环境中移动机器人姿态估计方法(英文)[J]. 控制工程,2013,06:1045-1051
[7] 张正,王鸿鹏,刘景泰,胡怡芳. 基于节点缓存的网络服务器性能分析与优化[J]. 计算机工程. 2012(01):5-92011
[8] 刘景泰, 石涛, 王鸿鹏, 陈新伟, 林森. 大型三维真彩色喷墨控制系统[J]. 自动化仪表, vol. 33, no. 4, April 2012
[9] 王鸿鹏, 杨云, 刘景泰. 高速移动机器人的研究现状与发展趋势[J]. 自动化与仪表. 2011(12):1-4
[10] 陈新伟, 刘景泰, 王鸿鹏, 许林, 林森, 石涛. 三维喷绘机器人[J]. 制造业自动化. Vol. 33, no. 8, August 2011, pp. 13-20
[11] 张正, 刘景泰, 王鸿鹏. 基于排队网络的网络机器人性能分析与优化[J]. 计算机应用, vol. 30, no. 12, Dec. 2010, 3148-3154
[12] J. Yi, H. Wang, J. Zhang, D. Song, S. Jayasuriya and J. Liu, "Kinematic Modeling and Analysis of Skid-Steered Mobile Robots With Applications to Low-Cost Inertial-Measurement-Unit-Based Motion Estimation," in IEEE Transactions on Robotics, vol. 25, no. 5, pp. 1087-1097, Oct. 2009.
[13] 吴江川,孙雷,王鸿鹏,周璐,刘景泰. 基于Tmote-Sky 的无线传感网络温湿度及光强检测系统[J]. 自动化与仪表. 2008, 7: 8-12
[14] 马博军,方勇纯,王鸿鹏. 基于能量分析的桥式吊车系统抗干扰控制器设计[J]. 中南大学学报(自然科学版). 2005,36: 169-17.

会议
[15] P. Li, H. Wang, M Zhu, J. Liu, "Modeling and Validation of Free Road with Geometric Parameter Representation for Wheeled Mobile Robots," 2018 International Conference on Automation Science and Engineering(CASE),Munich, 2018,pp.1665 - 1670
[16] Y. Song, H. Wang, S. Li, F. Xu, J. Liu."CNN based Wildlife Recognition with Super-pixel Segmentation for Ecological Surveillance[C]."The 8th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems(IEEE-CYBER),Tianjin, 2018.
[17] S. Zhang, H. Wang, S. He, C. Zhang, J. Liu. "An Autonomous Air-Ground Cooperative Field Surveillance System with Quadrotor UAV and Unmanned ATV Robots." The 8th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems(IEEE-CYBER),Tianjin,2018. [EI]
[18] J. Zhu, H. Wang, D. Han and J. Liu, ”Smart Surveillance: a Nature Ecological Intelligent Surveillance System with Robotic Observation Cameras and Environment Factors Sensors,”2018 8th CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), Tianjin,2018.
[19] M. Zhu, H. Wang, P. Li and J. Liu, "An Open Source Framework Based Unmanned All-Terrain Vehicle(U-ATV) for Fild Patrol and Surveillance",2018, 8th Annual IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems.Tianjin.
[20] P. Li, H. Wang, M. Zhu, J. Liu, "Maneuver Control of a Four-Wheel Differentially Driven Robot Based on Instantaneous Center of Rotation," 2018 Chinese Control And Decision Conference (CCDC), 2018, Shengyang, pp.4917 - 4922
[21] C. Zhang, H. Wang, S. He, H. Li, J. Liu. "Photography Constraint Aided Keyframe Selection and Matching Method for UAV 3D Reconstruction." (CCDC), 2018. Shengyang.
[22] L. Zhao, H. Wang, J. Wang et al. "Robust Wi-Fi indoor localization with KPCA feature extraction of dual band signals," 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO),Macau, 2017: 908-913.
[23] L. Zhao, H. Wang, P. Li, J. Liu, "An Improved Wi-Fi Indoor Localization Method Combining Channel State Information and Received Signal Strength,"The 36th Chinese Control Conference, 2017,Dalian.
[24] H. Wang, H. Li, C. Zhang, S. He, J. Liu. " A 3D Coverage Path Planning Approach for Flying Cameras in Nature Environment under Photogrammetric Constraints." (CCC), 2017. [EI]
[25] C. Zhang, H. Wang, H. Li and J. Liu, "A fast key frame extraction algorithm and an accurate feature matching method for 3D reconstruction from aerial video," 2017 29th Chinese Control And Decision Conference (CCDC), Chongqing, 2017, pp. 6744-6749.
[26] F. Xu, H. Wang, Y. Song and J. Liu, "A multi-scale kernel correlation filter tracker with feature integration and robust model updater," 2017 29th Chinese Control And Decision Conference (CCDC), Chongqing, 2017, pp. 1934-1939.
[27] D. Han, H. Wang and J. Liu, "Information based hybrid performance evaluation criterion for panorama refreshing in robotic tele-observation," 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), Qingdao, 2016, pp. 149-154.
[28] D. Han, H. Wang and J. Liu, "Kinematics modeling for Tele-Observation robotic camera," 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), Qingdao, 2016, pp. 1790-1795.
[29] H. Wang, Q. Yue and J. Liu, "Research on Pursuit-evasion games with multiple heterogeneous pursuers and a high speed evader," The 27th Chinese Control and Decision Conference (2015 CCDC), Qingdao, 2015, pp. 4366-4370.
[30] H. Wang, P. Zhang and J. Liu, "Salient region detection by learning accurate background template," The 27th Chinese Control and Decision Conference (2015 CCDC), Qingdao, 2015, pp. 2519-2524.
[31] H. Wang, J. Liu and J. Han, "RS-CPS: A distributed architecture of robotic surveillance cyber-physical system in the nature environment," 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Shenyang, 2015, pp. 1287-1292.
[32] G. Li, H. Wang, X. Ying and J. Liu, "A proxy-based cloud infrastructure for home service robots," The 27th Chinese Control and Decision Conference (2015 CCDC), Qingdao, 2015, pp. 5718-5723.
[33] L. Dong, H. Wang, Z. Hao and J. Liu, "Robust hand posture recognition based on RGBD images," The 26th Chinese Control and Decision Conference (2014 CCDC), Changsha, 2014, pp. 2735-2740.
[34] Lei Zhao, Hongpeng Wang, Yun Yang, Lei Sun and Jingtai Liu, "Dynamic modeling and drift control of high-speed wheel mobile robot," Proceedings of the 32nd Chinese Control Conference, Xi'an, 2013, pp. 5827-5832.
[35] H. Li, H. Wang and J. Liu, "Monocular visual Odometry using vertical lines in urban area," Proceedings of the 32nd Chinese Control Conference, Xi'an, 2013, pp. 5676-5681.
[36] S. Zhang, H. Wang, X. Chen, H. Qian, J. Liu and S. Lin, "Design and implementation of modular software system for three-dimensional true color printing robot," Proceedings of the 32nd Chinese Control Conference, Xi'an, 2013, pp. 6454-6459.
[37] H. Wang, L. Zhao, Y. Yang, Y. Yan and J. Liu, "Modeling and analysis of wheel mobile robot for high-speed precise drift," Proceedings of the 31st Chinese Control Conference, Hefei, 2012, pp. 5064-5069.
[38] H. Li, H. Wang, X. Lu and J. Liu, "Map-assisted visual localization using line features in urban area," 2012 24th Chinese Control and Decision Conference (CCDC), Taiyuan, 2012, pp. 2854-2859.
[39] H. Wang, B. Li, J. Liu, Y. Yang and Y. Zhang, "Dynamic modeling and analysis of Wheel Skid steered Mobile Robots with the different angular velocities of four wheels," Proceedings of the 30th Chinese Control Conference, Yantai, 2011, pp. 3919-3924.
[40] Y. Yang, H. Wang, J. Liu, B. Li and Y. Yan, "The kinematic analysis and simulation for four-wheel independent drive mobile robot," Proceedings of the 30th Chinese Control Conference, Yantai, 2011, pp. 3958-3963.
[41] H. Chen, H. Wang and J. Liu, "Virtual assembly based design and application of brick programming system," 2011 International Conference on Electrical and Control Engineering, Yichang, 2011, pp. 7049-7052.
[42] H. Wang, J. Zhang, J. Yi, D. Song, S. Jayasuriya and J. Liu, "Modeling and motion stability analysis of skid-steered mobile robots," 2009 IEEE International Conference on Robotics and Automation, Kobe, 2009, pp. 4112-4117.
[43] 李斌, 刘景泰, 孙雷, 王鸿鹏, 李宝炯, 面向复杂环境作业的轮式滑动转向移动机器人平台设计, 2009年中国智能自动化会议论文集, 2009, 837-843
[44] 王鸿鹏,Yi Jingang,刘景泰,Song Dezhen. 基于非线性Kalman 滤波器的轮式滑动转向移动机器人定位误差分析[C]. 第27 届中国控制会议论文集, 1008, 5: 446--450. 2008.
[45] 王鸿鹏, Yi Jingang, 刘景泰,等. 基于非线性Kalman滤波器的轮式滑动转向移动机器人定位误差分析[C]// 中国控制会议. 2008.
[46] Hongpeng Wang, Jingtai Liu, Lei Sun and Jiangchuan Wu, "Indoor intrusion detection using an intelligent sensor network," 2008 7th World Congress on Intelligent Control and Automation, Chongqing, 2008, pp. 2396-2401.
[47] 方勇纯, Darren; Dawson, 王鸿鹏. 欠驱动吊车非线性控制系统设计及实验[C]. 2005 年中国智能自动化会议论文集,2005,198-204.

专利
[48] 王鸿鹏,徐福来,刘景泰,一种具有遮挡感知机制的实时视觉目标跟踪方法,发明专利,申请号/专利号:201710604257.1.
[49] 王鸿鹏,张成,刘景泰,一种基于摄影测量约束的无人机视觉快速精确三维重建方法,发明专利,申请号/专利号: 201710831534.2.
[50] 刘景泰,赵林生,王鸿鹏。一种基于双频Wi-Fi信号的室内定位方法,申请号: 201710559429.8

讲授课程

1、本科生专业必修课程《机器智能基础》(原《智能技术2-1》);
2、硕士生专业选修课程《机器人仿真技术》。

社会兼职

上一条:许林 下一条:刘忠信

关闭