Theme-Based Research Scheme Public Symposium 2024

Project Coordinator Professor Yunhui LIU The Chinese University of Hong Kong 項目統籌人 劉雲輝教授 香港中文大學 Short Biography of Project Coordinator Professor Yunhui Liu 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. 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 construction. Professor Liu has received numerous research awards from international journals and international conferences in robotics and automation and government agencies. In recent years, he has been actively transferring robotics technologies developed at university labs to industries and founded or co-founded VisionNav Robotics, CornerStone Robotics, and Zanecon Robotics. He is an IEEE Fellow and a HKAES Fellow. 項目統籌人簡介 劉雲輝教授現任香港中文大學工程學系卓敏機械與自動工程學教 授,天石機械人研究所所長及 InnoHK 創新中心:香港物流機械人 研究中心總監。劉教授已在國際著名專業期刊和國際會議上發表學 術論文逾 500 篇,並於 2013 年被 Thomson Reuters 評為工程學領 域“高被引作者”(Highly Cited Authors)。他的研究領域包括基 於視覺的機械人控制、機器智能及其在智慧製造、物流、醫療及建 築等行業的應用。劉教授曾多次榮獲來自國際期刊及政府機構的研 究獎項。近年來,他積極將實驗室開發的機械人技術轉移到業界, 並創立或共同創立了包括未來機器人(VisionNav Robotics)、康諾 思騰(CornerStone Robotics)、築橙科技(Zanecon Robotics) 在內的多家科技公司。劉教授亦獲選為國際電機電子工程師學會 (IEEE)會士及香港工程科學院(HKAES)院士。 Project Summary Development of crucial technologies for next-generation surgical robots with automation and intelligence functions to improve the safety and quality of robotic surgery. Addressing scientific and technological challenges in sensing, perception, planning, safe motion control, and high-level intelligence of surgical robots. Development of the state-of-the-art approaches/solutions to cope with real-time sensing, data-driven surgical planning, visually servoed robot controllers, and AI-based skill learning form surgical experts. Validation of the technologies and the integrated robotic surgical systems in ex-vivo and or clinical trials. Close collaboration among the local and international research institutions to establish a world-class surgical robotics research centre in Hong Kong. 項目概要 研發具有自動化及智能化功能的新一代手術機械人技術,提高手術 機械人的安全性及質量 應對手術機械人在感知、規劃、安全運動控制和高級智能方面的科 學和技術挑戰 開發前沿的解決方案,應對即時感知、數據驅動的手術規劃、機械 人視覺伺服控制方法以及基於人工智能的專家技能學習 進行面向手術自主操作的體外試驗和臨床試驗,以驗證各項研究成 果和集成的手術機械人系統 與香港本地和國際研究機構緊密合作,為香港建立世界級的手術機 械人研究中心 CSR Multi-port surgical robot and Agilis flexible surgical robot developed based on the outputs of the project 以該項目的研究成果為基礎,研發出康諾思騰多端口手術機械人及巧捷力靈活手術機械人 Agilis flexible surgical robot 22 THEME 主題 4 | Advancing Emerging Research and Innovations Important to Hong Kong 促進對香港起重要作用的新興研究及創新項目 Participating Institutions City University of Hong Kong The University of Hong Kong 參與院校 香港城市大學 香港大學 Image-guided Automatic Robotic Surgery 視覺導航自動機械人手術 T42-409/18-R

RkJQdWJsaXNoZXIy NDk5Njg=