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Junzhi Yu
Ph.D., Professor
Department of Mechanics & Engineering Science, College of Engineering, Peking University
  • Office Add: Mechanics Building 323
  • OfficeTel: +86-10-62755022
  • Email: yujunzhi@pku.edu.cn

Education

  • March 2004 Ph.D., Institute of Automation, Chinese Academy of Sciences, Control Theory and Control Engineering
  • March 2001 Master, North University of China, Precision Instruments and Mechanology
  • July 1998 Bachelor, North University of China, Safety Engineering

Professional Experience

December 2018-Present Tenured Professor at Dept. Mechanics & Engineering Science, College of Engineering, Peking University

March 2006-November 2018, Associate Professor or Full Professor (from Oct. 2012) with the Institute of Automation, Chinese Academy of Sciences

April 2004-February 2006,
Postdoctoral Research Fellow with the Center for Systems and Control, Peking University


Research Areas

1. Intelligent robots (bionic robots, mechatronic design, collective intelligence)
2. Advanced robot control (fuzzy system, artificial neural network, central pattern generator based locomotion control, etc)
3. Embedded vision (image processing, embedded systems, visual applications)


Research Profile

The overall objective of the research in the Yu’s group is to utilize bioinspiration and biomimetics to offer a controllable and scalable robotic platform for biological research (e.g., testing hypotheses in biology) and a prototype technology for engineering practice (e.g., oceanography, underwater exploration, archaeology, search and rescue, patrol, marine environmental monitoring, ocean sampling, and mobile sensing).


Professional Honors and Awards

  • Best Paper Awards of IEEE USYS 2018 and IEEE RCAR 2018
  • The Second Prize of the National Natural Science Award in 2017 (Place No. 3)
  • The first Prize of Beijing Science and Technology in 2013 (Place No. 2)
  • Awardee of the National Science Fund for Distinguished Young Scholars (2017)
  • Best Conference Paper Awards of IEEE CYBER 2017 and IEEE ROBIO 2016
  • CLAWAR Association Best Technical Paper Award (2015)

Professional Activities

  • Associate Editor, IEEE Transactions on Robotics (2015.06-2018.06)
  • Technical Editor, IEEE/ASME Transactions on Mechatronics (2014.09-Present)
  • Associate Editor, Springer Journal of Mechanical Science and Technology (2010.03-2017.06)
  • Editorial Board Member, International Journal of Networked and Distributed Computing (2011.06-Present)

Selected Recent Publications

1. Junzhi Yu*, Min Tan, Shuo Wang, and Erkui Chen, “Development of a biomimetic robotic fish and its control algorithm,” IEEE Transaction on Systems, Man and Cybernetics, Part B, vol. 34, no. 4, pp. 1798–1810, 2004.

2. Junzhi Yu*, Zongshuai Su, Ming Wang, Min Tan, and Jianwei Zhang, “Control of yaw and pitch maneuvers of a multilink dolphin robot,” IEEE Transactions on Robotics, vol. 28, no. 2, pp. 318–329, 2012.

3. Junzhi Yu*, Lizhong Liu, Long Wang, Min Tan, and De Xu, “Turning control of a multilink biomimetic robotic fish,” IEEE Transactions on Robotics, vol. 24, no. 1, pp. 201–206, 2008.

4. Junzhi Yu*, Long Wang, and Min Tan, “Geometric optimization of relative link lengths for biomimetic robotic fish,” IEEE Transactions on Robotics, vol. 23, no. 2, pp. 382–386, 2007.

5. Junzhi Yu*, Rui Ding, Qinghai Yang, Min Tan, Weibing Wang, and Jianwei Zhang, “On a bio-inspired amphibious robot capable of multimodal motion,” IEEE/ASME Transactions on Mechatronics, vol. 17, no. 5, pp. 847–856, 2012.

6. Junzhi Yu*, Min Tan, Jian Chen, and Jianwei Zhang, “A survey on CPG-inspired control models and system implementation,” IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 3, pp. 441–456, 2014.

7. Junzhi Yu*, Zongshuai Su, Zhengxing Wu, and Min Tan, “An integrative control method for bio-inspired dolphin leaping: Design and experiments,” IEEE Transactions on Industrial Electronics, vol. 63, no. 5, pp. 3108–3116, 2016.

8. Junzhi Yu*, Cheng Zhang, and Lianqing Liu, “Design and control of a single-motor-actuated robotic fish capable of fast swimming and maneuverability,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 3, pp. 1711–1719, 2016.

9. Junzhi Yu, Jincun Liu, Zhengxing Wu*, and Hao Fang, “Depth control of a bioinspired robotic dolphin based on sliding mode fuzzy control method,” IEEE Transactions on Industrial Electronics, vol. 65, no. 3, pp. 2429–2438, 2018.

10. Junzhi Yu*, Zhengxing Wu, Zongshuai Su, Tianzhu Wang, and Suwen Qi, “Motion control strategies for a repetitive leaping robotic dolphin,” IEEE/ASME Transactions on Mechatronics, Article in press, DOI: 10.1109/TMECH.2019.2908082.