General

Peng Wang  

Professor

B.Sc.  M.Sc.  Ph.D.

Institute of Automation, Chinese Academy of Science


peng_wang@ia.ac.cn

+86-010-62554330

95 Zhongguancun East Road, Beijing, China, 100190

Research Areas

Robot Grasping and Manipulation

Robot Vision, Robot Learning

Anthropomorphic Five-fingered Robotic Hand

Neurorobotics, Brain-like and Neuromorphic Robotics

Intelligent Robot Systems.



Welcom to apply for the Phd International Students in UCAS (Chinese Government Scholarship, ANSO scholarship and UCAS Scholarship)

Education

Ph.D. in Control Theory and Control Engineering (July 2010)

Robotic Theory and Application Group, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Science (CASIA), China

M.Eng. in Control Engineering (July 2007)

School of Aeronautics, Harbin Institute of Technology (HIT), Harbin, China

B.Eng in Electrical Engineering and Automation (July 2004)

School of Automation, Harbin Engineering University (HEU), Harbin, China

Experience

2017. 10-                Professor

                                Institute of Automation, Chinese Academy of Science (CASIA), China

2018.4-2018.5       Visiting Scholar

                               University of California Berkeley (UCB), USA

2016.9-2016.10     Visiting Scholar

                               Technical University of Munich (TUM), Germany

2012.10-2017.10   Associate Professor

                             Institute of Automation, Chinese Academy of Science (CASIA), China

2010.7-2012.10    Assistant Professor

                             Institute of Automation, Chinese Academy of Science (CASIA), China

Honors & Distinctions

  • First Prize of Science and Technology of Beijing, Beijing Science and Technology Commission, 2012. 

  • Prize of Science and Technology of Beijing, Beijing Science and Technology Commission, 2015. 

  • Member of Youth Innovation Promotion Association, Chinese Academy of Sciences, 2014.

  • Top Ten Outstanding Staff, Institute of Automation, Chinese Academy of Science (CASIA), 2012.

  • Outstanding Staff, Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Science (CASIA), 2013.

  • Recipient of Paper Award Selected in “Top Articles from Outstanding S&T Journals of China-F5000”, Institute of Scientific and Technical Information of China.

Publications

   
Papers

  1. Haonan Duan, Peng Wang*, Yiming Li, Daheng Li, Wei Wei，Learning Human-to-Robot Dexterous Handovers for Anthropomorphic Hand, IEEE Transactions on Cognitive and Developmental Systems, 2022. [paper]
  2. Wei Wei, Daheng Li, Peng Wang*, et. al., DVGG: Deep Variational Grasp Generation for Dextrous Manipulation, IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 1659-1666，2022. [paper]
  3. Yiming Li, Wei Wei, Daheng Li, Peng Wang*, et. al., HGC-Net: Deep Anthropomorphic Hand Grasping in Clutter. IEEE International Conference on Robotics and Automation (ICRA), 2022. [paper]
  4. Yu, Chunmiao and Wang, Peng*，Dexterous Manipulation for Multi-Fingered Robotic Hands With Reinforcement Learning: A Review，Frontiers in Neurorobotics, 2022. [paper] 
  5. Li, Yinlin， Wang, Peng，  Li, Rui， Tao, Mo， Liu, Zhiyong and Qiao, Hong，A Survey of Multifingered Robotic Manipulation: Biological Results, Structural Evolvements, and Learning Methods，Frontiers in Neurorobotics，2022. [paper]  
  6. Yuxin Sun, Li Su, Yongkang Luo, Hao Meng, Wanyi Li, Zhi Zhang, Peng Wang, Wen Zhang, Global Mask R-CNN for marine ship instance segmentation, Neurocomputing, Volume 480, 2022
  7. Haonan Duan, Peng Wang*, et. al., Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning, Frontiers in Neurorobotics, volume 15, 2021. [paper]
  8. Wei Wei, Peng Wang*, et. al., GPR: Grasp Pose Refinement Network for Cluttered Scenes, IEEE International Conference on Robotics and Automation (ICRA), 2021. [paper]
  9. Chenlin Zhou, Peng Wang*, et. al., ACR-Net: Attention Integrated and Cross-spatial Feature Fused Rotation Network for Tubular Solder Joint Detection, IEEE Transactions on Instrumentation and Measurement, 2021. [paper]
  10. Guangyun Xu, Peng Wang*, et. al., POIS: Policy-Oriented Instance Segmentation for Ambidextrous Robot Picking, IEEE International Conference on Robotics and Automation (ICRA), 2021
  11. Chenlin Zhou, Peng Wang*, et. al., BV-Net : Bin-based Vector-predicted Network for Tubular Solder Joint Detection, Measurement, Elsevier, 2021
  12. Yiming Li, Peng Wang*, et. al., Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation, IROS 2021
  13. Yiming Li, Peng Wang*, et. al., ADEL: Autonomous Developmental Evolutionary Learning for Robotic Manipulation, ICDL 2021
  14. 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. 
  15. 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. 
  16. 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.
  17. 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.
  18. 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.
  19. 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. 
  20. 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. 
  21. 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.
  22. Peng Wangand Hong Qiao, Online Appearance Model Learning and Generation for Adaptive Visual Tracking,IEEE Transactions on Circuits and Systems for Video Technology, 2011, 21(2):156-169
  23. PengWang and Hong Qiao, Adaptive probabilistic tracking with reliable particle selection,Electronics Letters, vol. 45, no. 23, pp.1160-1161,2009.
  24. Yongkang Luo, Peng Wang, et al., Sparse-Distinctive Saliency Detection,IEEE Signal Processing Letters, Volume:22,Issue: 9, 2015.
  25. 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
  26. Wei Liu,PengWang et. al., Part-based adaptive detection of work- pieces using Differential Evolution，Signal Processing，2012, 92(2)，301-307.
  27. Zhicai Ou, Peng Wang et. al., Sub-pattern bilinear model and its application in pose estimation of work-pieces,Neurocomputing，2012, 83，176–187.
  28. 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.
  29. Dongchun Ren, Peng Wang et. al., A biologically inspired model of emotion eliciting from visual stimuli,Neurocomputing, Volume 121, Pages 328–336, 2013.
  30. Wanyi Li, Peng Wang et al., Robust object tracking guided by top-down spectral analysis visual attention,Neurocomputing, Volume 152, 25 March 2015, Pages 170–178.
  31. Wanyi Li,Peng Wang et. al., A Survey of Visual Attention Based Methods for Object Tracking.Acta Automatica Sinica,2014, 40(4): 561-576.
  32. Lu Jin-Yan, Xu De, Qin Zheng-Ke, Wang Peng, Ren Chao. An automatic alignment strategy of large diametercomponents with a multi-sensor system.Acta Automatica Sinica, 2015, 41(10): 1711-172
  33. PengWang, et al.,Salientregion detection based on Local and Global Saliency,Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 1546 – 1551, 2014, Hong Kong.
  34. Peng Wang,et al.,RoboticAssembly System Guided by Multiple Visionand Laser Sensors for Large Scale Components,Proceedings of IEEE International Conference onRobotics and Biomimetics, 2015
  35. Peng Wang and Hong Qiao, 2010, Adaptive probabilistic tracking with multiple cues integration for a mobile robot,Proceedings of IEEE International Conference of Control and Automation, June 2010, pp. 713-718.
  36. Peng Wang，et al., Adaptive Visual Tracking with feature selection for mobile robot,Proceedings of IEEE CYBER，2014, HongKong.
  37. Peng Wang et. al., Object Tracking with Serious Occlusion Based on Occluder Modeling,Proceedings of IEEE International Conference on Mechatronics and Automation, pp. 1960-1965, 2012
  38. Jing Tao, Peng Wang et. al., Facility Layouts Based on Intelligent Optimization Approaches,Proceedings of ICIST, 2012.
  39. Wanyi Li, Peng Wang et. al., Double least squares pursuit for sparse decomposition,Proceedings of the 7th International Conference on Intelligent Information Processing,2012.
  40. Jiuqi Han and Peng Wang et.al., Tuning of PID Controller Based-on Fruit Fly Optimization Algorithm,Proceedings of IEEE International Conference on Mechatronics and Automation, 2012.
  41. Wenjun Zhu, Peng Wang*, Fudong Li, Hong Qiao,Real-time 3D Model-based Tracking of Work-piece with Monocular Camera,Proceedings of IEEE/SICE International Symposium on System Integration, Nagoya, Japan,2015
  42. Jiwu Dong, Jianhua Su, Hong Qiao and Peng Wang, Optimal Fixture Design in the Large Plates of Optical Glass Assembly,Proceedings of IEEE International Conference on Mechatronics and Automation, 2012.
  43. Wei Liu, Jianhua Su, Suiwu Zheng, and Peng Wang, Pose Estimation for 3D Work Piece Using Differential Evolution Algorithm,Applied Mechanics and Materials(Volumes 182 - 183), 1708-1712 ,2012. (EI/ISTP)
  44. Wanyi Li, Peng Wang et. al., Top-down Spatiotemporal Saliency Detection using Spectral Filtering,Proceedings of The 5th International Conference on Digital Image Processing(ICDIP 2013) . (EI/ISTP)
  45. Jing Tao, Peng Wang, et. al., Facility Layouts Based on Differential Evolution Algorithm,Proceedings of IEEE ROBIO,2013
  46. Zhengke Qin, Wenjun Zhu, Peng Wang and Hong Qiao, Workpiece Localization with Shadow Detection and Removing,Proceedings ofIEEE ROBIO,2013
  47. Wenjun Zhu, Qinzheng Ke, Peng Wang and Hong Qiao, Model-based Work-piece Localization with Salient Feature Selection,Proceedings ofIEEE ROBIO,2013
  48. Wanyi Li, Peng Wang, Visual Tracking Via Saliency Weighted Sparse Coding Appearance Model,Proceedings of ICPR,2014.
  49. Jinyan Lu, De Xu , Peng Wang, A Kinematics Analysis for a 5-DOF Manipulator,Proceedings of 2014 CCDC.
  50. Zhengke Qin, Peng Wang, et al., Polygon Detection and Localization Based on Link-line Model,Proceedings of WCICA, 2014
  51. Jia Sun, Peng Wang, et al., Overview of Camera Calibration for Computer Vision,Proceedings of WCICA, 2014
  52. Zhipeng Tang, Peng Wang, et al., Assembly Sequence Planning based on Graduated NonConvexity and Concavity Procedure,Proceedings of WCICA, 2014
  53. Jianhua Su, Peng Wang, et al., Caging Convex Polyhedral Objects with Four Fingers,Proceedings of IEEE CYBER，2014, HongKong.
  54. Xinping Bu, hu su, Wei Zou, Peng Wang,Curvature Continuous Path SmoothingBased on Cubic Bezier Curves for Car-Like Vehicles,Proceedings of IEEE International Conference onRobotics and Biomimetics, 2015.
  55. Wanyi Li, Peng Wang, Hong Qiao,Object Discovery on RGB-D Data via Salient Object Proposals,Chinese Automation Congress, 2015


            Grants & Projects

            1. 2035 Interdisciplinary Research Project, Neuromorphic Dexterous Robot  (PI) (1,4650,000 RMB, 2020–2022)

            2. National Natural Science Foundation of China (NSFC Grant No. 91748131):  The Perception of Dynamic Unstructured Environment and Autonomous Manipulation of Robot based on Attention-Memory-Learning Model  (PI) (630,000 RMB, 2018–2020)

            3. National Natural Science Foundation of China (NSFC Grant No. 61379097): Vision Detection and Localization for Optical-Mechanical Components (PI) (770,000 RMB, 2014–2017)

            4. National Natural Science Foundation of China (NSFC Grant No. 61100098): Vision Tracking with Visual Attention (PI) (230,000 RMB, 2012–2014)

            5. Research/Training Funding for Members of Youth Innovation Promotion Association sponsored by Chinese Academy of Sciences (PI) (400,000 RMB, 2015–2018)

            6. National Key S&T Special Projects: Modelling and Simulation for Large-scale scientific facility (PI) (900,000 RMB, 2014–2015)

            7. National Key S&T Special Projects: Modelling and Simulation for Large-scale scientific facility (PI) (500,000 RMB, 2013–2014)

            8. Robotic System for the Grasping and Installation of Large-Scale Objects (PI) (470,000 RMB, 2015–2016)

            9. Evaluation for Installation Robotic System (PI) (420,000 RMB, 2015–2016)

            10. Robotic Automatic Assembly System (PI) (490,000 RMB, 2013–2014)

            11. Control system for Production Process (PI) (450,000 RMB, 2010–2011)

            12. Vision Detection and Localization for Large-Scale Objects (PI) (180,000 RMB, 2010–2011)

            13. Theoretical model for Integrated Installation (PI) (100,000 RMB, 2011–2012)