劉浩澧特聘教授的個人資料 - Profile of Hao-Li Liu

劉浩澧 Hao-Li Liu

國立臺灣大學電機工程學系 特聘教授
Distinguished Professor, Department of Electrical Engineering, National Taiwan University

主要研究領域:

智慧超音波感知與控制、生醫系統與影像導引治療、機器人應用與數位孿生、人工智慧與嵌入式電子、擴增實境輔助系統

Major Research Areas:

Intelligent Ultrasound Sensing and Control, Biosystems and Image-Guided Therapy, Robotics and Digital Twins, Artificial Intelligence and Embedded Electronics, Augmented Reality Assistive Systems

研究領域摘要:

本研究團隊致力於尖端超音波技術的跨領域研發，從精準醫療延伸至工業智慧感知。核心方向涵蓋：

  1. 治療性與感測超音波技術： 開發應用於腦部治療的無創超音波系統，並同步研發大規模空氣耦合超音波相位陣列（Air-coupled Ultrasound Phased Array），實現高解析度的空間導航與環境辨識。

  2. 智慧機器人與 3D 環境感知： 結合深度學習（Deep Learning）演算法處理聲學訊號，賦予機器人在複雜環境（如煙霧、透明材質）中的 3D 環境感測與語義識別能力。

  3. 數位孿生與虛實整合系統： 利用感測數據構建**數位孿生（Digital Twins）模型，實現醫療手術導引與機器人作業環境的實時動態映射，優化系統預測與路徑規劃。

  4. 前瞻輔助技術： 透過擴增實境（AR/MR）與微創手術導引技術，提升醫療介入與機器人協作的精準度與安全性。

 

 

Research Summary:

Our research team focuses on the interdisciplinary development of advanced ultrasound technologies, extending from precision medicine to industrial intelligent sensing. The core research directions include:

  1. Therapeutic and Sensing Ultrasound Technology: Developing non-invasive therapeutic ultrasound systems for brain applications, as well as large-scale air-coupled ultrasound phased arrays for high-resolution spatial navigation and environmental identification.

  2. Intelligent Robotics and 3D Environmental Sensing: Integrating Deep Learning algorithms to process acoustic signals, empowering robots with 3D environmental sensing and semantic recognition capabilities in challenging environments (e.g., smoke, transparent surfaces).

  3. Digital Twins and Cyber-Physical Systems: Utilizing sensing data to construct Digital Twin models, enabling real-time dynamic mapping of medical surgical interventions and robotic workspaces to optimize system prediction and path planning.

  4. Advanced Assistive Technologies: Enhancing the precision and safety of medical interventions and robotic collaboration through Augmented Reality (AR/MR) and minimally invasive surgical guidance.

Photo of Hao-Li Liu