YU Haoyong

Educational Qualifications

1984-1988 Department of Mechanical Engineering, Shanghai Jiao Tong University, B.S.

1988-1991 Department of Mechanical Engineering, Shanghai Jiao Tong University, M.S.          

1997-2002 Department of Mechanical Engineering, Massachusetts Institute of Technology, Ph.D.

Work Experience

1991-1993 Department of Mechanical Engineering, Shanghai Jiao Tong University, Lecturer

1993-2010 DSO National Laboratories, Singapore, Principal Member of Technical Staff

2010-2017 Department of Biomedical Engineering, National University of Singapore, Assistance Professor

2017-present Department of Biomedical Engineering, National University of Singapore, Associate Professor    

Research Interests            

  1. Rehabilitation Engineering and Rehabilitation Robotics
  2. Design and control of surgical robotics for minimum invasive surgery
  3. Intelligent Control and Autonomous Systems
  4. Bio-inspired robotics

Representative Publications            

[1] X. Li, Y. Pan, G. Chen and H. Yu, “Multi-modal control scheme for rehabilitation robotic exoskeletons”. The International Journal of Robotics Research (IJRR). 36(5-7): 795-777, 2017.  https://doi.org/10.1177/0278364917691111. (IF= 6.134)

[2] X. Li, Y. Pan, G. Chen and H. Yu, “Adaptive Human–Robot Interaction Control for Robots Driven by Series Elastic Actuators”. IEEE Transactions on Robotics (TRO), vol. 33, no. 1, pp. 169-182, Feb. 2017. DOI: 10.1109/TRO.2016.2626479. (IF= 6.483)

[3] H. Yu, S. Huang, G. Chen, Y. Pan and Z. Guo, “Human–Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators”. IEEE Transactions on Robotics (TRO), vol. 31, no. 5, pp. 1089-1100, Oct. 2015. DOI: 10.1109/TRO.2015.2457314. (IF= 6.483)

[4] Y. Pan and H. Yu, “Composite Learning from Adaptive Dynamic Surface Control”. IEEE Transactions on Automatic Control (TAC), vol. 61, no. 9, pp. 2603-2609, Sept. 2016. DOI: 10.1109/TAC.2015.2495232. (IF=5.093)

[5] Y. Pan and H. Yu, “Biomimetic Hybrid Feedback Feedforward Neural-Network Learning Control”. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 28, no. 6, pp. 1481-1487, June 2017. DOI: 10.1109/TNNLS.2016.2527501. (IF=11.683)

Website

 http://www.bioeng.nus.edu.sg/people/PI/YUHaoyong/default.html 

YU Haoyong