Chengli Song

University of Shanghai for Science and Technology, University of Dundee

Papers

Total Citations

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About

Chengli Song is a researcher specializing in surgical robotics and medical instrumentation, with a focus on advancing minimally invasive and non-invasive procedures. His work spans the development of robotic systems for laparoscopic surgery, therapeutic ultrasound, and interventional vascular surgery. Song’s major contributions include pioneering motion measurement and analysis of surgical instruments for single-incision laparoscopic surgery (SILS), where he compared straight, articulating, and precurved instruments to optimize dexterity and efficiency in confined spaces. This study, with 5 citations, provides critical insights for instrument design and surgical training. Additionally, Song explored the integration of robotic manipulators with High Intensity Focused Ultrasound (HIFU) to enhance precision in non-invasive tumor treatment, addressing challenges in clinical application (3 citations). His research on steerable catheter robots for interventional vascular surgery (2 citations) further demonstrates his commitment to improving procedural accuracy and patient outcomes. By combining engineering innovation with clinical needs, Song’s work contributes to safer, more effective surgical technologies, making him a notable figure in the field of medical robotics.