Speaker

Guangzhong Yang

Anzhu Gao

Yao Guo

Yun Gu

Time

2024.09.25 16:00-17:30

Abstract

Keynote Speech: As the founding editor of Science Robotics, Prof Yang will discuss the Grand Challenges of Science Robotics and its implication on the future development of basic science research as well as industrialization of robotics. The talk will highlight the role of new materials and fabrication schemes for developing a new generation of robots that are multi-functional, power-efficient, compliant, and autonomous in ways akin to biological organisms, as well as biohybrid and bioinspired robots. The talk will use robotic surgery as an exemplar to provide a critical analysis of existing surgical robots for minimally invasive surgery and new research opportunities in allied disciplines. The talk will cover the latest developments in fully articulated, bio-inspired robot platforms that facilitate intra-luminal or extra-luminal anatomical navigation with integrated sensing, vision and navigation.

Case Reports I：Flexible Continuum Robots for Endoluminal Intervention and Surgeries——Anzhu Gao

Case Reports Ⅱ：Flexible Neuroelectrode Implantable Robots

Case Reports Ⅲ：Robust Computer Vision for Endoluminal Surgery——Yun Gu

Bio

Professor Guang-Zhong Yang is the founder and chief scientist of the Institute of Medical Robotics at Shanghai Jiao Tong University. He was the founding director of the Hamlyn Centre for Robotic Surgery, Imperial College London. Professor Yang is also the Chairman of the advisory board, the UK-RAS Network (http://ukras.org). Professor Yang’s main research interests are in medical imaging, sensing and robotics. He is a Fellow of the Royal Academy of Engineering, fellow of IEEE, IET, AIMBE, IAMBE, MICCAI, CGI and a recipient of the Royal Society Research Merit Award and listed in The Times Eureka ‘Top 100’ in British Science. Professor Yang is the founding editor of Science Robotics (http://robotics.sciencemag.org/) – a journal of the Science family dedicated to the latest advances in robotics and how it enables or underpins new scientific discoveries. He was awarded a CBE in the Queen’s 2017 New Year Honor for his contribution to biomedical engineering.

Anzhu Gao is a tenure-tracking associate professor/director of Center of Surgical Robotics and doctoral supervisor at Shanghai Jiao Tong University. He has won the NSFC Outstanding Young Scientists Fund Program and the Shanghai Rising Star Program. He has presided over many national/provincial projects, the China Electronics Society-Tencent Robotics X Rhino Bird Project, etc. He has conducted robotics research in Harbin Institute of Technology, Shenyang Institute of Automation of Chinese Academy of Sciences, Johns Hopkins University, and Imperial College London. He has been engaged in the research of key technologies of flexible continuum robots for narrow cavities for a long time, focusing on flexible robots, continuum robots, intelligent perception and interaction, etc. His research achievements have been published in Science Robotics, IEEE TRO, Soft Robotics, IEEE/ASME TMECH, IEEE TIE, AISY, etc.

Dr. Yao Guo received his B.S. degree in automation and M.S. degree in communication and information system from Sun Yat-Sen University, Guangzhou, China in 2011 and 2014, respectively. He earned his Ph.D. degree in robotic vision from the City University of Hong Kong, Hong Kong in 2018. His postdoctoral training was at the Hamlyn Centre for Robotic Surgery, Imperial College London, London, UK from 2018 to 2020. He was the tenure-track Assistant Professor with the Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China from 2020 to 2023. Since 2024, he has been the tenure-track Associate Professor. His main research interests include robotic vision, gait analysis, rehabilitation and assistive robotics, human-machine interaction, and machine learning algorithms in healthcare applications. He has published one book and over 50 papers in peer-reviewed journals and international conferences, and he received several best paper awards in the international conferences.

Yun Gu is a Tenure-Track Associate Professor with the Institute of Medical Robotics, Shanghai Jiao Tong University. His major research interests are computer-assisted surgical planning and medical image analysis. He has served as the Area Chair of the MICCAI/IPCAI and has published over 40 academic papers in journals and conferences such as IEEE-TMI, IEEE-TBME, MedIA, and MICCAI in the past five years.