Ruotong Xu

Harbin University of Science and Technology

Papers

Total Citations

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About

Dr. Ruotong Xu is a pioneering researcher at the intersection of computer vision, deep learning, and medical robotics, with a primary focus on advancing surgical navigation through semantic simultaneous localization and mapping (SLAM). Their most cited work, "Semantic SLAM Based on Deep Learning in Endocavity Environment" (2022, 18 citations), addresses a critical challenge in minimally invasive surgery: the restricted field of view in traditional endoscopic procedures. By integrating deep learning with SLAM technology, Dr. Xu developed a novel framework that enables real-time, semantically aware mapping of internal body cavities using endoscopic image sequences. This breakthrough enhances robot-assisted laparoscopic visualization, allowing surgeons to navigate complex anatomical environments with greater precision and situational awareness. Dr. Xu’s contributions are particularly notable for bridging the gap between autonomous robotic perception and clinical application, offering a pathway toward safer, more intuitive surgical tools. With growing citation impact and a focus on translating AI-driven spatial intelligence into practical medical solutions, Dr. Xu is establishing themselves as a key innovator in the field of intelligent surgical systems.