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自动化研究所人才库

  • 姓名: 王鹏
  • 性别: 男
  • 职称: 正高级
  • 电子邮件: peng_wang@ia.ac.cn
    简  历:
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    姓名

    王鹏

    性别

    联系方式

    peng_wang@ia.ac.cn

    专业技术职务

    研究员

    部门/实验室

    复杂系统管理与控制国家重点实验

    通讯地址

    北京市海淀区中关村东路95号

    邮编

    100190

    研究领域

    机器人视觉、机器人学习、机器人自主操作、机器人类脑感知与控制、智能机器人系统

    教育背景

    2007.09-2010.07   中科院自动化所复杂系统智能控制与管理国家重点实验室,控制理论与控制工程,博士 

    2005.07-2007.07   哈尔滨工业大学航天学院,控制科学与工程,硕士 

    2000.09-2004.07   哈尔滨工程大学自动化学院,电气工程及自动化,本科

    工作简历

    2017.10 -             中科院自动化所,研究员、博士生导师

    2018.04 - 2018.05    美国加州大学伯克利分校,访问学者

    2016.09 - 2016.10    德国慕尼黑工业大学,访问学者 

    2012.11 - 2017.10    中科院自动化所,副研究员

    2010.07 - 2012.10    中科院自动化所,助理研究员

    兼职经历

    1、中科院青年创新促进会会员,2014年

    2、中国计算机学会智能机器人专业组常务委员,2019年

    3、中国自动化学会混合智能专业委员会委员,2017年

    4、中国人工智能开源软件发展联盟专家委员会委员,2018年

    5、中科院自动化所“十佳员工”,2012年

    发表论文

    1. Jia Sun, Peng Wang*, Yongkang Luo, Wanyi Li. Surface Defects Detection Based on Adaptive Multi-scale Image Collection and Convolutional Neural Networks, IEEE Transactions on Instrumentation and Measurement, Volume: 68, Issue:12, 4787-4797, DECEMBER 2019. 

    2. Xuanyang Xi#, Yongkang Luo#*, Peng Wang, and Hong Qiao. Salient object detection based on an efficient end-to-end saliency regression network. Neurocomputing, 323:265–276, 2019. 

    3. Jia Sun, Peng Wang*, Yongkang Luo, Gaoming Hao, Hong Qiao. Precision Work-piece Detection and Measurement Combining Top-down and Bottom-up Saliency[J]. International Journal of Automation and Computing. vol. 15, no. 4, pp. 417-430, 2018.

    4. Wenjun Zhu, peng wang*, Rui Li ,  Xiangli Nie ,  Real-time 3D Work-piece Tracking with Mo-nocular Camera Based on Static and Dynamic Model Libraries, Assembly Automation, Vol. 37 Iss: 2, 219~229, 2017.

    5. Sun, Jia; Wang, Peng*; Qin, Zhengke; Qiao Hong,Effective self-calibration for camera parameters and hand-eye geometry based on two feature points motions,IEEE/CAA Journal of Automatica Sinica,4(2), 370–380,2017.

    6. Xu, D., Lu, J., Wang, P., Zhang, Z., & Liang, Z. Partially decoupled image-based visual servoing using different sensitive features. IEEE Transactions on Systems, Man, and Cybernetics: Systems, Volume: 47, Issue: 8, 2233 - 2243 ,Aug. 2017. 

    7. Zhengke Qin, Peng Wang*, Jia Sun, Jinyan Lu, and Hong Qiao, Precise Robotic Assembly for Large-Scale Objects Based on Automatic Guidance and Alignment,IEEE Transactions on Instrumentation and Measurement, vol. 65, no. 6, June 2016. 

    8. Wanyi Li,Peng Wang, and Hong Qiao, Top-down Visual Attention Integrated Particle Filter for Robust Object Tracking,Signal Processing: Image Communication: 2016 ,43 ,28–41.

    9. Peng Wang et. al.,  Online appearance model learning and generation for adaptive visual tracking, IEEE Transaction on Circus and System for Video Technology, 21(2), Feb. 2011, 156-169. 

    10. Peng Wang et. al., Adaptive probabilistic tracking with reliable particle selection, Electronics Letters, 45 (23), Nov. 2009, pp. 1160-1161. 

    11. Yongkang Luo, Peng Wang, Wenjun Zhu, and Hong Qiao. Sparse-Distinctive Saliency Detection. IEEE Signal Processing Letter, Vol. 22, No.9: 1378-1382, 2015.

    12. Wei Liu, Peng Wang et. al., Part-based adaptive detection of work- pieces using Differential Evolution,Signal Processing,2012, 92(2),301-307. 

    13. Zhicai Ou, Peng Wang et. al., Sub-pattern bilinear model and its application in pose estimation of work-pieces, Neurocomputing,2012, 83,176-187.

    14. Wanyi Li、Peng Wang、Rui Jiang、Hong Qiao ,Robust object tracking guided by top-down spectral analysis visual attention ,Neurocomputing, 152, pp 170-178, 2015.

    15. Peng Wang ; Zhengke Qin; Wei Zou, Planetary Landing Point Tracking Based on Multiple Reference Points, IEEE International Conference on Mechatronics and Automation (ICMA 2017), 2017.8.6-2017.8.10

    16. Peng Wang et al., Adaptive Probabilistic Tracking with Discriminative Feature Selection for Mobile Robot, IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC) , 2016

    17. Peng Wang, Zhengke Qin, Zhao Xiong, Jinyan Lu, De Xu, Xiaodong Yuan and Changchun Liu, Robotic Assembly System Guided by Multiple Vision and Laser Sensors for Large Scale Components, Proceedings of IEEE International Conference on Robotics and Biomimetics, 2015.

    18. Wei Liu, Tianshi Chen, Peng Wang et. al., Pose estimation for 3D workpiece grasping in industrial environment based on evolutionary algorithm, Journal of Intelligent and Robotic Systems, (2012) 68:293-306. 

    19. Dongchun Ren, Peng Wang et. al., A biologically inspired model of emotion eliciting from visual stimuli, Neurocomputing, Volume 121, Pages 328-336, 2013. 

    20. Hong Qiao, Yanlin Li, Tang Tang and Peng Wang, Introducing Memory and Association Mechanism Into a Biologically Inspired Visual Model, IEEE Transactions on Cybernetics, Volume:44 , Issue: 9 , 1485 - 1496 , Sept. 2014 

    21. Peng Wang, et al., Salient region detection based on Local and Global Saliency, IEEE International Conference on Robotics and Automation (ICRA), 1546 – 1551, 2014, Hong Kong. 

    22. Wanyi Li, Peng Wang et. al., A Survey of Visual Attention Based Methods for Object Tracking. Acta Automatica Sinica, 2014, 40(4): 561-576. 

    23. Peng Wang et. al., Adaptive probabilistic tracking with multiple cues integration for a mobile robot, IEEE International Conference on Control and Automation, 2010, pp. 713-718. 

    24. Peng Wang et. al., Object Tracking with Serious Occlusion Based on Occluder Modeling, IEEE International Conference on Mechatronics and Automation, 2012. pp. 1960-1965 

    25. Wanyi Li, Peng Wang et. al., Double least squares pursuit for sparse decomposition, the 7th International Conference on Intelligent Information Processing, 2012. 

    26. Jiuqi Han and Peng Wang et.al., Tuning of PID Controller Based-on Fruit Fly Optimization Algorithm, IEEE International Conference on Mechatronics and Automation, 2012. 

    27. Jiwu Dong, Jianhua Su, Hong Qiao and Peng Wang, Optimal Fixture Design in the Large Plates of Optical Glass Assembly, IEEE International Conference on Mechatronics and Automation, 2012.  

    28. Jing Tao, Peng Wang, et. al., Facility Layouts Based on Differential Evolution Algorithm, IEEE ROBIO 2013 

    29. Zhengke Qin, Wenjun Zhu, Peng Wang and Hong Qiao, Workpiece Localization with Shadow Detection and Removing, IEEE ROBIO 2013 

    30. Wenjun Zhu, Qinzheng Ke, Peng Wang and Hong Qiao, Model-based Work-piece Localization with Salient Feature Selection, IEEE ROBIO 2013 

    31. Peng Wang,et al., Adaptive Visual Tracking with feature selection for mobile robot, IEEE CYBER,2014, HongKong. 

    32. Wanyi Li, Peng Wang, Visual Tracking Via Saliency Weighted Sparse Coding Appearance Model, ICPR, 2014. 

    专利成果

    1. 动态场景下基于局部背景剪除的自适应目标跟方法. ZL2010100343535

    2. 基于遮挡物建模的有遮挡情况下的目标跟踪方法. ZL201010034354X

    3. 一种基于视觉传感器和激光测距仪的位姿检测装置与方法,ZL2015102293711

    4. 一种智能装配序列规划方法,ZL2014103426256

    5. 一种基于动态规划与遗传算法的装配序列规划方法及装置. ZL2014101207362

    6. 一种机器人自动化装配系统. ZL2015101194206

    7. 一种多边形工件检测定位方法. ZL2014103051984

    8. 一种显著性区域检测方法及装置. ZL2014103017979

    9. 大口径光学元件的姿态调整装置. ZL2016107286808

    10. 自动夹持套件,ZL2016107260117

    11. 显著区域检测方法和检测系统,ZL2016108891003

    荣誉及奖励

    1、北京市科学技术一等奖,2012年

    2、北京市科学技术二等奖,2015年

    3、中国自动化学会技术发明一等奖,2018年

    4、军队科技进步二等奖,2018年

    5、第三届中国创新挑战赛(扬州)优胜奖,2018

    科研项目

    1. 时空大数据集成分析与认知计算,国家重点研发计划课题,2020.01-2022.12,支持

    2. 脑智交叉研究平台--类脑智能体验证平台,国家科学中心重点项目,2020.01-2022.12,主持

    3. 基于注意-记忆-学习的非结构环境感知与机器人自主作业,国家自然科学基金共融机器人重大研究计划,2018.01-2020.12,主持

    4. 光机组件视觉检测与定位算法研究,国家自然基金面上项目,2014.01-2017.12,主持

    5. 引入视觉注意机制的视觉跟踪方法研究,国家自然科学基金青年,2012.01-2014.12,主持

    6. 基于类脑学习的非结构化环境感知方法研究,军委装备预研基金,2017.01-2018.12,主持

    7. 中科院青年创新促进会人才项目,2015.01-2018.12,主持 

    8. 数字化设计与验证,国家重大科技专项,2017.01-2018.06,主持

    9. 数字化设计与系统集成,国家重大科技专项,2016.01-2017.06,主持

    10. 驱动器数字化系统总体设计与系统集成,国家重大科技专项,2014.07-2015.12,主持 

    11. 激光驱动器数字样机建模与验证,重大专项,2013.07-2014.07,主持 

    12. 光机组件半自动化装校验证系统及关键技术研究,横向,2013.12-2014.12,主持

    13. 光机组件可视化装配检测与定位技术研究,横向,2012.01-2013.10,主持 

    14. 高功率固体激光驱动器集成安装理论模型,横向,2012.01-2012.12,主持

    15. 机器人夹持与安装系统,横向,2015.10-2016.01,主持

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