Chunya Tong

Papers

Total Citations

H-Index

About

Chunya Tong is a robotics researcher whose work focuses on vision-based tracking and control systems for humanoid robots. Her most-cited paper, "Tracking for humanoid robot based on Kinect" (2014, 2 citations), addresses the challenge of real-time environmental perception by leveraging depth information from Microsoft's Kinect camera. In this work, Tong proposed a novel recognition algorithm and control method that extracts depth data to improve tracking accuracy, while also introducing an accelerated algorithm to enhance processing speed. Though her citation count is modest, this contribution is notable for its practical approach to integrating affordable consumer hardware—like the Kinect—into robotic systems, making advanced tracking more accessible. Tong's research sits at the intersection of computer vision, human-robot interaction, and control theory, with implications for autonomous navigation and responsive robotic movement. Her work reflects a commitment to solving real-world constraints in robotics, such as computational efficiency and environmental adaptability, offering a foundation for future developments in low-cost, vision-driven humanoid platforms.