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About

Jingyuan Chang is a biomedical robotics researcher whose work centers on the design, control, and clinical application of vascular interventional surgical robots (VISRs). Operating at the intersection of mechanical engineering, control systems, and minimally invasive medicine, Chang has made meaningful contributions to one of the most technically demanding frontiers in surgical robotics. Chang's most influential work, cited 40 times, introduced a novel VISR incorporating force feedback and flexible clamping force regulation — addressing a critical gap in existing systems that left surgeons with inadequate tactile information during delicate guidewire manipulation. A closely related 2021 study (29 citations) advanced precise guidewire delivery methods within master-slave control architectures, directly targeting the core challenge of navigating patient-specific vascular anatomy. Earlier foundational work from 2018 tackled the persistent problem of robot shivering during surgery, applying magnetic particle clutch technology to improve stability and control fidelity. More recent contributions have extended this research program to include lightweight, modular positioning manipulators designed to enhance safety and surgical accuracy. Collectively, Chang's publications reflect a systematic effort to bridge engineering innovation with clinical reliability, producing systems that are safer, more responsive, and better suited to the precise demands of vascular intervention — work that continues to attract growing attention from the surgical robotics community.