Yie Tian

Papers

Total Citations

H-Index

About

Yie Tian is a researcher in robotics and computer vision, with a focus on enabling machines to perceive and interact with dynamic environments. Their most cited work, "Location and Tracking of Robot End-effector Based on Stereo Vision" (2006, 12 citations), introduces a stereo vision-based system for humanoid robots to locate and track end-effectors in unknown settings. By integrating visual features like color, disparity, and adaptive templates, Tian developed a robust approach that enhances robotic precision in real-time, addressing critical challenges in autonomous manipulation. This contribution lays groundwork for applications in industrial automation and service robotics, where reliable tracking is essential. While their citation count reflects a niche but foundational impact, Tian’s work stands out for its practical integration of multi-modal visual cues, offering a template for future research in sensor fusion and adaptive control. Their achievements underscore a commitment to bridging perception and action in robotics, making their research valuable for students and engineers exploring vision-guided systems in unstructured environments.