Yu Yuan

Zhejiang Lab, Shanghai Jiao Tong University

Papers

Total Citations

H-Index

About

Yu Yuan is a researcher whose work lies at the intersection of autonomous robotics and advanced perception systems, with a particular focus on solving complex control and estimation challenges. His primary research areas include trajectory planning for non-standard robotic platforms and visual simultaneous localization and mapping (SLAM) using novel sensor configurations. Yuan’s most notable contribution is his work on autonomous tractor–trailer mobile robots, where he addresses the formidable control problems posed by their nonlinear, underactuated dynamics—a system where the trailer’s motion cannot be directly actuated. His 2024 paper on trajectory re-planning and tracking control under multiple constraints provides a critical framework for ensuring these systems stay on intended paths, a fundamental step toward their real-world deployment in logistics and agriculture. Additionally, Yuan has advanced visual SLAM by leveraging panoramic cameras to overcome the limited field-of-view issues inherent in standard pinhole cameras, proposing a system that achieves high-precision camera pose estimation. While his citation counts are currently modest, his work tackles foundational problems in robotics, laying the groundwork for more robust and versatile autonomous systems.