Cen Li

Middle Tennessee State University, Beijing Jiaotong University

Papers

Total Citations

H-Index

About

Cen Li is a robotics researcher whose work spans autonomous navigation, human-robot interaction, and industrial automation. Her most influential contribution, the 2009 study on programming the Khepera II robot for autonomous navigation using a hybrid architecture (11 citations), demonstrated the feasibility of integrating the D* Lite algorithm for real-time path planning, advancing mobile robot exploration. She later expanded into human-robot interaction with a 2019 paper on teaching the NAO robot to play "Simon Says" (5 citations), combining Choreographe programming with OpenPose pose detection to enable responsive gameplay—a notable achievement in social robotics. Most recently, her 2022 work on multieye vision industrial robots (2 citations) tackles bolt positioning accuracy, comparing ART, SIRT, and SART reconstruction algorithms to enhance precision in manufacturing. With a career that bridges theoretical algorithms and practical robot applications, Li’s research has accumulated over 18 citations, reflecting her impact on autonomous systems and human-robot collaboration. Her work on the Khepera II remains a foundational reference for hybrid navigation architectures, while her NAO project showcases innovative use of vision-based interaction, marking her as a versatile contributor to modern robotics.