报告摘要：

Advances in biology and medicine require enabling technologies for manipulation and characterization of tissues, single cells, and even sub-cellular structures. The past decade has witnessed a significant progress in the area of micro-robotics for biomedical applications such as single cell manipulation and minimally invasive surgery. In robotic manipulation at small scales, two long-lasting technical challenges existed: (1) how to search and locate ultra-small and fragile end-effector tips and (2) how to determine the third dimensional information (i.e. Z positions) under microscopy and other medical imaging modalities.

This talk will introduce a new search and detection method for automatically locating end-effector tips; and vision-based contact detection algorithms for determining the relative Z distance between the end-effectors and target manipulation objects. This talk will present microrobotic systems integrating these techniques as well as visual servo controls for high-throughput microinjection of cardiomyocytes in cardiovascular drug testing and for automated cryopreservation of oocytes and embryos in IVF clinics. Future research directions including AR-assisted surgery and personalized healthcare will also be discussed.

主讲人简介：

Jun Liu is a Postdoc Fellow in the Dalio Institute of Cardiovascular Imaging at Cornell University. Prior to joining the Dalio Institute, he obtained his Ph.D. in mechanical engineering from University of Toronto in 2016, and his B.E. in Automation and B.S. in Economics from Shandong University in 2008.

His research interests include micro-nano robotics, soft and medical robotics, and medical image analysis and interaction. His research has been recognized on the major robotics and automation conferences by winning multiple awards including the Best Student Paper Award and Best Medical Robotics Paper Finalist Award from the IEEE International Conference on Robotics and Automation in 2014, and the IEEE Transactions on Automation Science and Engineering Best New Application Paper Award in 2018.

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