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Dr Gu Fang
Biography
Gu Fang received his Bachelor of Engineering degree in Mechanical Automation from Shanghai University of Technology in China, and his PhD from the University of Sydney in Australia. He currently works at UWS as a Senior Lecturer in Mechatronics Engineering. He is the Head of Program for Engineering Postgraduate courses and Course Advisor for the Bachelor of Engineering (Robotics & Mechatronics) course.
Gu's teaching and research are mainly in the areas of robotics, control systems and artificial intelligence. He has worked at universities both in Australia and in China and has published many papers in books, international journals and conferences. He has served as a referee for various international journals and conferences and is a member of Engineers Australia and IEEE.
Areas of Research/Teaching Expertise
300056 Robotics
300043 Mobile Robotics
300027 Engineering Computing
300044 Microcontrollers & PLCs
300598 Master Project 2
Gu's main research interests include: mobile robot exploration and control; neural network and fuzzy logic control in robotics; force control for industrial robots; robot applications in healthcare and construction; computer vision in robotic applications; and particle swarm optimisaion in robotics.
His papers have been nominated for a number of 'best paper' awards and one of his papers was awarded the best paper at an international conference. Gu is a Visiting Scholar at the ARC Centre of Excellence for Autonomous Systems at the University of Technology, Sydney. HE is also a Visiting Researcher in the Intelligent Robotic Welding Technology Laboratory (IRWTL) in Shanghai Jiao-Tong University, Shanghai, China.
Grants/Current Projects
A Vision Controlled Autonomous Multi-Robot Welding System - Funded by the ARC Llinkage Project
Autonomous Systems for Road Bridge Maintenance - Stage 1 - jointly funded by Roads and Traffic Authority (NSW) and University of Technology, Sydney. (Jointly received with Dr Dikai Liu from UTS).
24 Bit Optical Post Processor - funded by AusIndustry R&D Start Graduate Placement Grant.
Adaptable Low-Cost, Low-Volume Automation - funded by Hawker de Havilland Pty Ltd. (Jointly received with Professor Bryan Roberts and Dr John Gal).
Vector Display System - funded by AusIndustry R&D Start Graduate Placement Grant. (Jointly received with Professor Bryan Roberts)
Robot Precision Control Using Neural Networks - Funded by Australian Research Council (ARC) Small Grant.
Selected Publications
Fang G. and Dissanayake M.W.M.G., "A Neural Network Based Algorithm for Robot Trajectory Planning." Proceedings of International Conference of Robots for Competitive Industries. July 1993, Brisbane, Qld, Australia. pp. 521-530. (Best Student Paper Award)
Fang G. and Dissanayake M.W.M.G., "Experiments on a neural network based method for time-optimal trajectory planning." Robotica. Vol 16, 1998, pp143-158.
Dissanayake G. and Fang G., "Minimum-time trajectories for reducing load sway in quay-cranes." Engineering Optimization. Vol. 33, 2001, pp. 643-662.
Xu Z.L. and Fang G. "Fuzzy - neural impedance control for robots." in Robotic Welding, Intelligence and Automation (Eds.:TJ Tarn, SB Chen and CJ Zhou) Springer-Verlag. 2004. pp 263-275.
Fang G., Dissanayake G., Kwok N., and Huang S., "Near minimum time path planning for bearing-only localisation and mapping" Proceedings of 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada, August 2005, pp2763-2768.
Kwok N.M., Buchholz J., Fang G., and Gal J., "Sound Source Localization: Microphone Array Design and Evolutionary Estimation" Proceedings of IEEE International Conference on Industrial Technology. Hong Kong December 2005. pp. 281-286. (Best Paper Nomination)
Kwok N.M., Ha Q.P., Liu D.K., and Fang G., "Intensity Preserving Contrast Enhancement for Gray-Level Images using Multi-objective Particle Swarm Optimization", IEEE Conference on Automation Science and Engineering, Shanghai, China, October 2006. (Finalist for the Best Paper Award).
Kwok NM, Q.P. Ha, D.K. Liu, & Fang G. "Motion Coordination for Construction Vehicles using Swarm Intelligence". International Journal of Advanced Robotic Systems. Vol. 4, No. 4, pp. 469-476, 2007.
Ha Quang, Kwok Ngai, Liu Dikai and Fang Gu, "Contrast Enhancement and Intensity Preservation for Gray-Level Images using Multi-objective Particle Swarm Optimization." IEEE Transactions on Automation Science and Engineering. Vol, 6, No. 1, pp. 145-155, 2009
Fang G., Kwok N.M., and Wang D., “Automatic Rule Tuning of a Fuzzy Logic Controller Using Particle Swarm Optimisation,” Lecture Notes in Artificial Intelligence LNAI 6320, Springer Verlag, 2010, pp. 326-333.
Tarn T. J., Chen S. B. and Fang G., “Robotic Welding, Intelligence and Automation”, Lecture Notes in Electrical Engineering. Springer-Verlag Berlin Heidelberg, Germany, May 2011 (in press)
For more information, contact Gu.
