Qiao Li

Tongji University, Northeast Normal University

Papers

Total Citations

H-Index

About

Qiao Li has made significant contributions to the fields of robotic vision and human-robot interaction, with a particular focus on enhancing robot perception and communication. Their most cited work introduces a novel **Risley-prism-based visual tracing method** for robot guidance, which integrates boresight adjusting technology with visual detection to dynamically adjust a camera’s field of view. This innovation, published in 2020 with 11 citations, enables more flexible and precise visual tracking, directly advancing applications in autonomous navigation and industrial robotics. Li also explored **Chinese speech recognition** for the Aldebaran Nao robot, developing a scheme for preprocessing and analyzing spoken Chinese instructions to improve human-robot interaction. This work, though earlier in their career, laid groundwork for culturally adaptive robotic systems. With a total of 14 citations across their key papers, Li’s research demonstrates a clear trajectory from foundational speech processing to cutting-edge visual systems. Their achievements highlight a commitment to making robots more intuitive and responsive, bridging the gap between complex algorithms and real-world usability—a vital step toward seamless human-robot collaboration.