Huaping Liu

Tsinghua University, National University of Defense Technology

Papers

Total Citations

H-Index

About

Huaping Liu is a robotics and artificial intelligence researcher whose work spans mobile robot localization, cognitive systems, signal processing, and robotic manipulation. His research focuses on developing intelligent, cost-effective solutions for real-world robotic challenges, particularly in environments where sensor data is inherently sparse or uncertain. Liu's most influential contribution, "Robotic Room-Level Localization Using Multiple Sets of Sonar Measurements" (2016), demonstrates his ability to extract meaningful spatial information from low-fidelity sonar sensors — a practical approach that has garnered 88 citations and remains a significant reference for indoor navigation research. His broader interest in cognitive systems is reflected in his 2017 work on cognitive systems and signal processing, further establishing his interdisciplinary reach. More recently, Liu has turned his attention to robotic manipulation, with his 2025 paper proposing an elegant unified model capable of both active vision and action learning — a forward-looking contribution that signals his engagement with the cutting edge of embodied AI. Across his career, Liu's work reflects a consistent commitment to making robots smarter, more adaptive, and more practical in complex real-world settings.