Papers
4
Total Citations
99
H-Index
3
About
Gang Sun’s research lies at the intersection of robotics, medical devices, and control systems, with a particular focus on advancing capsule endoscopy and visual servoing technologies. His most influential work, “Adaptive Image-Based Visual Servoing With Temporary Loss of the Visual Signal” (86 citations), addresses a critical challenge in robotics: maintaining control when visual feedback is interrupted. Sun developed adaptive control laws that enable robots to continue precise positioning even during temporary signal loss, significantly enhancing the robustness of vision-guided systems. In the medical domain, Sun has pioneered wireless power transmission for capsule endoscopy, designing a magnetic coupling resonant system that replaces bulky batteries with external power, thereby reducing capsule size and weight. His contributions extend to spherical capsule robots actuated by external magnetic fields for minimally invasive surgery, where he conducted finite element analysis to evaluate movement characteristics. Sun’s multi-modular capsule robot design enables information collection and multipoint drug delivery in the intestinal tract, addressing the critical size-functionality trade-off in medical robotics. Through these innovations, Sun has established himself as a key contributor to the development of more reliable, functional, and minimally invasive robotic systems for healthcare applications.
Research Focus
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Top Papers
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