Qianlong Yu

Chongqing University of Science and Technology

Papers

Total Citations

H-Index

About

Qianlong Yu is a researcher whose early work focused on the intersection of computer vision and robotics, particularly within the domain of robotic soccer systems. His key research areas include image processing, object identification, and field distortion correction for autonomous agents. In his most notable contribution, "A Identification Method for Robotics Soccer" (2010), Yu addressed critical challenges in robotic soccer by proposing a novel field distortion correction method based on seed points. He also analyzed and constructed an innovative color tag design approach, enhancing the ability of robots to accurately identify and interact with their environment. While his citation count stands at 4, this foundational work demonstrates his engagement with the practical hurdles of real-time robotic perception and localization. Yu's research contributes to the broader field of multi-agent systems and autonomous navigation, offering early insights that support the development of more robust and adaptive robotic platforms.