Max Robotics — Global Service Robot Directory + US Certification

About

Yun Gu is a leading researcher at the intersection of medical robotics, computer vision, and deep learning, with a primary focus on advancing robotic-assisted surgery and biomedical imaging. His most impactful work includes pioneering vision-kinematics interaction for robotic-assisted bronchoscopy navigation, a method that overcomes visual variations during endobronchial interventions to improve minimally invasive pulmonary treatments. Gu has also made significant contributions to surgical autonomy through multi-stage and cross-scene suture detection for robot-assisted anastomosis, developing deep learning models that robustly parse suture threads under complex, occluded surgical environments. His work on diversity-aware label distribution learning for microscopy auto focusing addresses critical challenges in optical imaging for cancer diagnosis, ensuring high-quality cell-level visualization. With over 70 citations across his top papers, Gu’s research has been published in leading venues and is driving progress toward autonomous surgical systems. His notable achievements include advancing occlusion-aware pose estimation for surgical threads, a key step toward reliable robot manipulation in real-world clinical settings.