Max Robotics — Global Service Robot Directory + US Certification

About

Jiwei Shan is a leading researcher in robotic perception and medical imaging, with a focus on simultaneous localization and mapping (SLAM) for endoscopic and autonomous systems. His major contributions include the development of **ENeRF-SLAM**, a dense endoscopic SLAM framework that integrates neural implicit representations to achieve precise camera pose estimation and anatomical reconstruction from endoscopic videos—a critical advancement for intraoperative navigation and robotic surgery automation. This work, published in 2024, has already garnered 13 citations, reflecting its immediate impact. Shan also pioneered a robust optimization-based fusion of GNSS and Visual-Inertial-Wheel Odometry (2022, 4 citations), enabling drift-free state estimation for autonomous mobile robots. His recent work on **MobilePosenet** (2025, 2 citations) introduces a lightweight neural network for calibration-free 5-DOF magnet localization, addressing computational delays in wireless capsule endoscope tracking. Additionally, his **DnFPlane** method (2024, 2 citations) enables efficient 4D reconstruction of deformable tissues, pushing boundaries in dynamic medical scene understanding. Shan’s research consistently bridges theoretical innovation with practical deployment, making him a pivotal figure in advancing SLAM and sensor fusion for real-world clinical and robotic applications.