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About

Jinlong Lou is a robotics and medical engineering researcher whose work sits at the intersection of surgical robotics, magnetic resonance imaging (MRI) compatibility, and minimally invasive medicine. His primary research focus centers on the design, modeling, and control of MRI-compatible robotic systems for cancer interventions, with particular emphasis on breast and prostate biopsy and brachytherapy procedures. Lou's most significant contributions include the development of tendon-driven and pneumatically actuated robotic platforms capable of operating within the demanding electromagnetic environment of an MRI scanner — a technically challenging feat that requires careful material selection and precise control strategies. His 2015 work on a 5-degree-of-freedom tendon-based system for minimally invasive breast surgery (22 citations) stands as his most impactful contribution, demonstrating high-precision needle insertion guidance for small-core tumor treatment. Complementing this, his pneumatically actuated robot for prostate interventions (15 citations) further illustrates his expertise in MRI-guided surgical systems. Across his body of work, Lou has tackled kinematics analysis, dynamic modeling, error compensation, and closed-loop control — advancing the reliability and clinical applicability of surgical robots. His research offers meaningful progress toward improving patient outcomes in cancer treatment through intelligent, image-guided robotic assistance.