王东署

作者: 时间:2020-04-21 点击数:

 

王东署

教授、博士生导师

电子邮箱:

wangdongshu[at]zzu.edu.cn(请将[at]换成@

办公室:

电气楼1330

研究方向:

机器人智能控制,人工智能,机器学习,类脑计算,机器人自主心智发育

教育背景

2002/09-2006/03,东北大学,信息科学与工程学院,博士

1999/09-2002/03,东北大学,机械工程与自动化学院,硕士

1992/09-1996/07,东北大学,机械工程与自动化学院,学士

工作经历

Ø  2022/01-至今,   郑州大学,电气与信息工程学院,教授

Ø  2011/12-2021/12,郑州大学,电气工程学院,副教授

Ø  2013/10-2014/10,美国密歇根州立大学,计算机科学与工程系,访问学者

Ø  2006/03-2011/11,郑州大学,电气工程学院,讲师

Ø  1996/08-1999/08,中钢集团郑州金属制品研究院,助工

学术兼职

Ø  2019/01-至今,International   Journal of Humanoid Robotics, Associate Editor

Ø  2019/01-至今,Applied   IntelligenceSoft   Computing, IEEE TFSIEEE   TASE, PLOS ONEJournal of HeuristicsIEEE Access, ISA Transactions, Journal of Intelligent & Robotic Systems 等多个国际期刊审稿专家

Ø  2020/09-至今,International   Journal of Robotics and Automation Technology - EBM,编委。

Ø  2020/01-至今,CAAI认知系统与信息处理专委会委员

Ø  2020/01-至今,自动化学会认知计算与系统专委会委员

Ø  2018/01-至今,教育部学位论文评审专家

奖励与荣誉

Ø  2021年,河南省第五届自然科学优秀学术论文 二等奖

Ø  2021年,全国大学生电子设计大赛省一等奖 指导教师

Ø  2021年,林枫奖教金

Ø  2020年,河南省科学技术进步二等奖

Ø  2020年,河南省教育厅教育信息化理论研究和创新应用 一等奖

Ø  2020年,郑州大学第二届研究生机器人创意设计大赛(仿真组),一等奖,优秀指导教师

Ø  2020年,第二届辽宁省人工智能应用大赛,一等奖,指导老师

Ø  2020年,郑州大学“三育人先进个人”

Ø  2019年,河南省高等教育教学成果 二等奖

Ø  2019年,河南省市场监督管理系统科技成果 一等奖

Ø  2019年,第二届国际大学生类脑计算大赛优秀奖 指导教师

Ø  2019年,全国大学生电子设计大赛全国二等奖,省一等奖 指导教师

Ø  2018年,首届国际大学生类脑计算大赛优秀奖 指导教师

Ø  2018年,河南省第四届自然科学优秀学术论文一等奖

Ø  2018年,郑州大学教学优秀二等奖

Ø  2017年,教育部“西门子杯”中国智能制造挑战赛全国总决赛三等奖 指导教师

Ø  2013年,郑州大学优秀青年骨干教师

科研项目

Ø  (主持)国家自然科学基金面上项目(62173309),2022.01-2025.12

Ø  (主持)横向项目(20200281A),2020.08-2022.07

Ø  (主持)河南省自然科学基金面上项目(202300410483),2020.10-2022.09

Ø  (主持)河南省科技攻关项目(192102210256),2019.01-2020.12

Ø  (主持)郑州大学青年骨干教师项目,2014.01-2016.12

Ø  (主持)河南省教育厅自然科学基金资助项目(2010B510019, 2010.01-2011.12

Ø  主持河南省教育厅自然科学基金资助项目(2008A510015, 2008.01-2009.12

代表论文

[1]   Jinbiao Zhu, Dongshu Wang*, Jikai Si. Flexible   behavioral decision-making of mobile robot in dynamic environment. IEEE   Transactions on Cognitive and Developmental Systems, 2022, https://doi.org/10.1109/TCDS.2022.   3149602 

[2]   Dongshu Wang, Kai Yang, Lei Liu,   Heshan Wang*. An incremental learning model for mobile robot: From short-term   memory to long-term memory. IEEE Transactions on Artificial Intelligence,   2021, https://doi.org/10.1109/10.1109/   TAI.2021.3139264

[3]   Dongshu Wang, Shuli Chen, Yuhang Hu, Lei   Liu, Heshan Wang*. Behavior decision of mobile   robot with a neurophysiologically motivated reinforcement learning model, IEEE Transactions on Cognitive and   Developmental Systems, 2022, 14(1): 219-233.

[4] Jianbin XinChuang Meng, Andrea D’Ariano, Dongshu   Wang*, Rudy R. Negenborn. Mixed-integer nonlinear   programming for energy-efficient container handling: Formulation and   customized genetic algorithm. IEEE Transactions on Intelligent Transportation   Systems, 2022, 23(8): 10542-10555.

[5] Heshan Wang, Yuxi Liu, Dongshu Wang*,   Yong Luo, Chudong Tong , Zhaomin LvDiscriminative and   regularized echo state network for time series classification. Pattern   Recognition2022130108811.

[6] 王东署,高旭霖。未知环境中移动机器人柔性行为决策的调节发育学习。控制理论与应用,202239X:1-11,    https://doi.org/10.7641/CTA.2022.10963.

[7] 王东署,赵红燕。移动机器人动态避障的调节发育学习。控制与决策,2022https://doi.org/10.13195/j.kzyjc.2021.1726

[8]   Yuyang Zhou, Dongshu Wang*. Path planning of   mobile robot based on improved ant colony optimization. Journal of The   Institution of Engineers (India): Series B, 2022, https://doi.org/10.1007/s40031-022-00777-9

[9]   Chaorui   Chen, Dongshu Wang*. Path Planning of Mobile Robot Based on the   Improved Q-Learning Algorithm. International Journal of Innovative Computing,   Information and Control, 2022, 183):687-702.

[10]   Dongshu   Wang,   Kai Yang, Jianbin Xin*, A computational developmental model of perceptual learning   for mobile robot. IEEE Transactions on Cognitive and Developmental Systems,   2021, https://doi.org/10.1109/TCDS.2021.3128179

[11] Dongshu Wang, Kai Yang, Lei Liu, Heshan Wang*. Behavioral decision-making of mobile robot in unknown   environment with the cognitive transfer. Journal of Intelligent & Robotic   Systems, 2021, 103 (1): 7   https://doi.org/10.1107/s10846-021-01451-w

[12] Dongshu Wang, Heshan Wang*, Jiwen Sun, Jianbin Xin, and Yong Luo. Face recognition in complex unconstrained   environment with an enhanced WWN algorithm. Journal   of Intelligent Systems, 2021, 30 (1): 18–39.

[13]   Heshan Wang, Q. M. Jonathan Wu, DongshuWang*, JianbinXin, YiminYang, KunjieYu. Echo state network with a   global reversible autoencoder for time series classification. Information Sciences, 2021, 570: 744-768. https://doi.org/10.1016/j.ins.2021.04.074

[14] Tianlei Ma, Jiaqi Wang, Zhen Yang,   Xiangyang Ren, Yifan Song, Yanan Ku, Yunpeng Liu, Dongshu Wang*.   Infrared small target detection based on divergence operator and nonlinear   classifier. Optical and Quantum Electronic, 2021, 53: 369.   https://doi.org/10.1007/s11082-021-03041-4

[15] Dongshu Wang, Shuli Chen, Yadong Zhang*, Lei Liu. Path planning of mobile robot in dynamic   environment: Fuzzy artificial potential field and extensible neural network. Artificial Life and Robotics, 2021, 26 (1): 129-139.   

[16] Dongshu Wang*, Kai Yang, Lei Liu. An adaptive behavior decision model of mobile robot based on the   neuromodulation. Artificial Life and Robotics, 2021, 26   (1): 66-75.   

[17]   Dongshu   Wang,   Wenjie Si*, Ying Luo. A biologically inspired behavior control   for the unexpected uncertainty with motivated developmental network. IEEE   Transactions on Cognitive and Developmental Systems, 2020, 12(4): 774-786.

[18]   Dongshu   Wang,   Yuhang Hu, Tianlei Ma*. Mobile robot navigation with the combination of   supervised learning in cerebellum and reward-based learning in basal ganglia.   Cognitive Systems Research, 2020, 59: 1–14.

[19]   Dongshu Wang, Yadong Zhang, Jianbin Xin*. An   emergent deep developmental model for auditory learning. Journal of Experimental & Theoretical Artificial   Intelligence, 2020, 32 (4): 665-684.  

[20]   Jianbin XinLiuqian WeiDongshu Wang*, Hua Xuan. Receding horizon path planning of automated guided vehicles   using a time-space network model. Optimal Control Applications and Methods, 2020, 416):1889-1903

[21]   Dongshu Wang, Wenjie Si, Yong Luo, Heshan Wang, Tianlei Ma*. Goal-directed   autonomous navigation of mobile robot based on the principle of   neuromodulation. Network: Computation in Neural Systems, 2019, 30   (1-4): 79-106.

[22]   Dongshu   Wang,   Jianbin Xin*. Emergent spatio-temporal multimodal learning using a   developmental network. Applied Intelligence, 2019, 49: 1306-1323.

[23]   司文杰,王东署*. 具有输入和输出约束的高阶随机系统神经网络控制. 控制理论与应用,2019368):1250-1258.

[24]   Dongshu Wang, Yihai Duan, Juyang Weng.   Motivated optimal developmental learning for sequential tasks without using   rigid time-discounts. IEEE Transactions on Neural Networks and Learning   Systems, 2018, 29   (10): 4917-4931.

[25]   Dongshu   Wang,   Hui Shan, Jianbin Xin*. Brain-like   emergent auditory learning: A developmental method. Hearing   Research,   2018,   370: 283-293.

[26]   Dongshu Wang*, Dapei Tan, Lei Liu. Particle swarm optimization algorithm: An overview. Soft Computing, 2018, 22 (2): 387-408.

[27]   Dongshu Wang*, Junhao Wang, Lei Liu.   Developmental network: An internal emergent object feature learning. Neural   Processing Letters, 2018, 48 (2): 1135-1159.

[28]   Dongshu   Wang,   Hui Shan, Yuan Tian, Lei Liu. Emergent face orientation recognition with   internal neurons of the developmental network. Progress in Artificial   Intelligence, 2018, 7 (4): 359-367. 

[29]   Wenjie Si, Dongshu Wang*. Finite-time   decentralized adaptive neural constrained control for interconnected   nonlinear time-delay systems with dynamics couplings among   subsystems.   ISA   Transactions, 2018, 80: 54-64.

[30]   Dongshu   Wang,   Jiaming Chen, Lei Liu. How internal neurons represent the short context: An   emergent perspective. Progress in Artificial Intelligence, 2017, 6 (7):   67-77.

[31]   Dongshu   Wang,   Haitao Wang, Lei Liu. Unknown environment exploration of multi-robot   system with the FORDPSO. Swarm and Evolutionary Computation, 2016, 26:   157-174.

[32]   Dongshu   Wang,   Yihai Duan. Natural language acquisition: State inferring and thinking.   International Journal on Artificial Intelligence Tools, 2016, 25 (4): 1-24.   

[33]   Dongshu   Wang,   Yihai Duan, Jia Wang. Environment exploration and map building of mobile   robot in unknown environment. International Journal of Simulation and   Process Modelling, 2015, 10 (3): 241-252.

[34] Dongshu Wang, Lei Liu. Face   recognition in complex background: Developmental network and synapse   maintenance. International Journal of Smart Home, 2015, 9 (10): 47-62.

[35]   Dongshu   Wang,   Jia Wang, Xunlin Zhu, Yan Shao. Determination of optimal measurement   configurations for polishing robot calibration. International Journal   of Modelling, Identification and Control, 2014, 21 (2): 211-222.

出版著作

Ø  《工业机器人技术与应用》,王东署 朱训林 主编,中国电力出版社,2016年,ISBN978-7-5123-8706-5

Ø  《机器人学及其智能控制》,参编,人民邮电出版社,2014年,ISBN978-7-1153-6158-5

Ø  S7-200 PLC基础及应用》,独著,中国电力出版社,2013年,ISBN978-7-5123-3967-5

发明专利

Ø  王东署,杨凯,罗勇等,基于发育网络的移动机器人运动方向预先决策方法,ZL   2019 2 0255732.8

Ø  王东署,胡宇航,罗勇等,一种机器人控制方法及设备,ZL   2020 1 0552467.2

 

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