Jinyan Tian

Papers

Total Citations

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About

Jinyan Tian’s research lies at the intersection of robotics, computer vision, and intelligent control, with a focus on real-time, human-interactive systems. His most cited work, “A Real-time Football Goalkeeper Robot System Based on Fuzzy Logic Control” (2021, 4 citations), demonstrates a novel integration of depth sensing and lightweight neural networks—using an Intel RealSense D435 camera and YOLOv3-tiny—to enable a robot to track and intercept a football in dynamic environments. This system showcases practical applications in sports training and entertainment, highlighting his ability to bridge perception and control. In his more recent work, “A Vision-Based Target Localization Method for Robot-Assisted Sonography” (2023, 2 citations), Tian tackles a critical challenge in medical robotics: accurate neck positioning under human pose variability. By improving the AlphaPose network, his method robustly localizes anatomical targets despite interference from other moving objects, advancing the feasibility of autonomous ultrasound scanning. Though early in his career, Tian’s contributions are notable for their applied impact—combining fuzzy logic, deep learning, and real-time vision to solve tangible problems in both recreational robotics and healthcare automation. His work exemplifies how vision-guided systems can adapt to unpredictable, real-world conditions.