Robotics and AI technologies are rapidly advancing in recent years, but intelligence levels of robots are still far below humans’ expectations. One of the major reasons is that a robot is not good at coordinating visual information captured by its vision systems, i.e. eyes, with motions of its arms, hands, and legs or wheels. Accurate, robust and efficient perception and effective use of the visual information is crucial for robots to successfully perform tasks in natural environments. This talk presents technical challenges in vision-driven robotics, our on-going work and latest results in vision-driven robot manipulation and vision-guided robot navigation, and applications of the technologies in manufacturing, logistics and robotic surgery.
Professor Yunhui Liu received his Ph.D. degree 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 a Choh-Ming Li Professor of Mechanical and Automation Engineering, the Director of T Stone Robotics Institute, and the Director/CEO of Hong Kong Centre for Logistics Robotics funded by the InnoHK clusters. He has published over 500 papers and was listed in the Highly Cited Authors (Engineering) by Thomson Reuters. His research interests include robotics, AI, and their applications in manufacturing, logistics, healthcare, and construction. He co-founded VisionNav Robotics, CornerStone Robotics, AIever Robotics, etc. He is Fellow of IEEE, HKAES and HKIE.
Clean water and clean air are vital for public health. This project focuses on developing high-efficiency and environmentally sustainable filters for removing harmful air/water pollutants. The team has developed novel architectures and functionalities for the filters to achieve high permeance, high removal efficiency, and excellent reusability.
