Chongjun Yang

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About

Chongjun Yang is a leading researcher in robot-assisted surgery, with a primary focus on the modeling, identification, and feedback control of needle insertion procedures. His seminal survey, "Force Modeling, Identification, and Feedback Control of Robot-Assisted Needle Insertion: A Survey of the Literature" (2018, 98 citations), has become a foundational reference in the field, systematically mapping the challenges of haptic feedback and force sensing in minimally invasive interventions. Yang’s work addresses a critical gap: enabling surgeons to "feel" tissue interactions through robotic systems, thereby enhancing precision and safety during delicate operations. By synthesizing decades of research on force modeling and control strategies, he has provided a roadmap for developing intelligent surgical robots that can adapt to varying tissue properties. His contributions are pivotal for advancing autonomous needle steering and improving patient outcomes in procedures like biopsies and brachytherapy. Through his rigorous analysis of identification techniques and feedback architectures, Yang continues to shape the next generation of surgical robotics, bridging the gap between engineering theory and clinical practice.