Qixiang Ye

University of Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Qixiang Ye is a leading researcher in computer vision and robotics, with key contributions spanning intelligent sensing, autonomous navigation, and human-robot interaction. His early work on a novel laser vision sensor for weld line detection on wall-climbing robots (2014, 63 citations) established foundational techniques for industrial inspection, demonstrating how vision systems can enable precise, real-time perception in challenging environments. More recently, Ye has advanced the field of vision-dialog navigation (VDN), introducing a self-motivated communication agent (2021, 22 citations) that revolutionizes how agents interact with humans in real-world settings. Unlike conventional approaches that rely on expensive dialogue annotations and predefined questioning locations, his work empowers agents to autonomously ask questions and navigate based on natural human responses—a critical step toward practical, deployable navigation systems. This innovation addresses key limitations in VDN, making it more flexible and cost-effective for real-world applications. With a career bridging industrial robotics and cutting-edge AI, Ye’s research continues to shape how machines perceive, reason, and collaborate with humans in dynamic environments.