Chao Peng

Huazhong University of Science and Technology

Papers

Total Citations

H-Index

About

Chao Peng is a researcher specializing in industrial automation and robot vision, with a particular focus on visual guidance systems and target pose estimation. His most cited work, "Robot visual guide with Fourier-Mellin based visual tracking" (2019, 11 citations), addresses one of the most challenging problems in the field: robust and efficient image-based target pose estimation. Peng’s key contribution lies in developing a solution that leverages binocular stereo vision to improve both the robustness and speed of visual tracking, enabling more reliable robot guidance in industrial settings. By integrating Fourier-Mellin transform-based methods, his work enhances the ability of robotic systems to accurately perceive and interact with their environment, even under demanding conditions. This research has practical implications for advancing automation in manufacturing and assembly lines. Peng’s achievements demonstrate a strong commitment to solving real-world engineering challenges, and his work continues to influence developments in robot vision and autonomous systems.