Wenzheng Zhang

Wenzheng Zhang (張　文政) is a PhD student at Hosei University, specializing in autonomous navigation using monocular cameras. His research focuses on topological mapping, visual SLAM, and efficient localization methods for intelligent robotic systems. Building on deep learning–based visual place recognition techniques such as AnyLoc, Zhang’s work improves loop closure detection and mapping accuracy while reducing computational costs. His studies propose lightweight yet robust solutions for visual navigation and mapping in both real-world and simulated environments.

Zhang’s research has contributed to advancements in visual SLAM systems by integrating topological representations with deep feature-based recognition, achieving significant improvements in loop closure accuracy and navigation success rates. His work aims to enhance the scalability, reliability, and adaptability of autonomous systems operating in dynamic and unstructured environments.

Beyond his research, Zhang is passionate about computer vision, robotics, and multimodal AI, and is committed to developing practical and ethical technologies that bridge the gap between human and machine intelligence.