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Advancements in biology and medicine necessitate enabling technologies for the manipulation and characterization of tissues, single cells, and even sub-cellular structures. Over the past decades, we have witnessed significant progress in the area of micro and medical robotics for biomedical applications such as single-cell manipulation and minimally invasive surgery. This talk will introduce a new search and detection method for automatically locating end-effector tips; vision-based contact detection algorithms, and microrobotic manipulation techniques. Furthermore, this talk will present microrobotic systems integrating these techniques for microinjection, along with the introduction of an inner actuated microrobot specially designed for minimally invasive medical procedures. The new technology has the potential to reshape cardiovascular drug testing and revolutionize the automated cryopreservation of reproductive cells in IVF clinics. Future research directions including augmented reality-assisted surgery and personalized healthcare will also be discussed.
Professor Jun Liu is an Associate Professor in the Department of Data and Systems Engineering at The University of Hong Kong. Prior to joining HKU, he was an Associate Professor in the Department of Mechanical Engineering at City University of Hong Kong. He obtained his Ph.D. from the University of Toronto in 2016, and his postdoctoral training at Cornell University. His pioneering research has been recognized at flagship robotics and automation conferences, earning multiple awards, including the ICRA Best Student Paper Award and Best Manipulation and Best Medical Robotics Paper Finalist Award in 2014, the Gaitech Best Paper in Robotics Award in 2016, and the Best New Application Award from IEEE Transactions on Automation Science and Engineering in 2018.
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.
