BIO - Prof. Yun-hui LIU

Yun-hui Liu received B. Eng. degree in Applied Dynamics from Beijing Institute of Technology, M. Eng. degree in Mechanical Engineering from Osaka University, and Ph.D. degree in Applied Mathematics from the University of Tokyo. After working at the national Electrotechnical Laboratory of Japan as a Research Scientist, he joined The Chinese University of Hong Kong (CUHK) in 1995 and is currently Choh-Ming Li Professor of Mechanical and Automation Engineering, the Director of the CUHK T Stone Robotics Institute, and the Director/CEO of Hong Kong Centre for Logistics Robotics funded by the InnoHK clusters of the HKSAR government. He has published more than 500 papers in refereed journals and conference proceedings and was listed in the Highly Cited Authors (Engineering) by Thomson Reuters in 2013. His research interests include vision-based robotics, machine intelligence and their applications in manufacturing, logistics, healthcare and constructions. Prof. Liu has received numerous research awards from international journals and international conferences in robotics and automation, and from government agencies. In recent years, he has been actively transferring robotics technologies developed at university labs to industries, and co-founded VisionNav Robotics, CornerStone Robotics, and Zanecon Robotics. He was the Editor-in-Chief of Robotics and Biomimetics and served as an Associate Editor of the IEEE TRANSACTION ON ROBOTICS AND AUTOMATION. He is an IEEE Fellow and a HKIE Fellow.

Yun-hui Liu
Choh-Ming Li Professor of Mechanical and Automation Engineering
Director, T Stone Robotics Institute
The Chinese University of Hong Kong
&
Director, Hong Kong Centre for Logistics Robotics

Robotics and AI have been widely used to improve productivity of manufacturing lines, efficiency and quality of healthcare, etc. This talk will present our recent efforts on applying advanced robotics and AI technologies to solving real-world problems in service areas, which are key components for big cities like Hong Kong. Using robots and AI to upgrade automation/intelligence level of services is crucial for the development of a smart city. We will present the technology of using robots, vision sensors, and AI to real-time acquire and perceive 3D information of objects and/or environments, and its applications in inspection tasks in tunnels, buildings, constructions, environments, etc. In particular, our project on wastewater tunnel inspection will be introduced.