Dr. Fangyi Zhang was previously a research fellow with the physical interaction program. He was also a former PhD student in the Australian Centre for Robotic Vision (ACRV) at QUT node, supervised by Prof. Peter Corke, Dr. Jürgen Leitner and Prof. Michael Milford. During his PhD, Fangyi was focused on Deep Reinforcement Learning and Transfer Learning for Robotic Reaching, and got his degree in 2018 with the thesis entitled “Learning Real-world Visuo-motor Policies from Simulation”. After that, he joined Alibaba DAMO Academy as a Research Scientist, doing research and development work on drone applications and data mining. His current research interests include robot learning, robotic vision, robotic manipulation, and autonomous systems.
Prior to his PhD, Fangyi obtained his B.Eng. degree in Automation from East China Jiaotong University in 2010, followed with three years’ work experience on R&D of locomotive control algorithms and electrical systems in the CRRC Zhuzhou Institute from 2010 to 2013. In 2014, he stayed for one year at the Hong Kong University of Science and Technology, as a research assistant supervised by Prof. Ming Liu, doing research on VLC-based indoor localization and 2D-laser based 3D sensing. More details can be found on his personal website: www.fangyizhang.com.