Qinghu Meng

Southern University of Science and Technology

Papers

Total Citations

H-Index

About

Qinghu Meng’s research lies at the intersection of cognitive systems, information processing, and advanced robotics control. His foundational work, particularly his 1992 thesis on model-based adaptive position and force control of robot manipulators, established a rigorous framework for adaptive impedance control grounded in dynamic system modeling. This early contribution addressed critical computational challenges in motion control, enabling robots to interact with their environments more safely and precisely. More recently, Meng has explored cognitive systems and information processing (2023), reflecting a shift toward integrating intelligent decision-making with robotic control. While his citation counts—4 for his recent work and 2 for his seminal thesis—are modest, they underscore the niche, foundational nature of his contributions. His thesis remains a reference for researchers tackling adaptive control in robotics, demonstrating lasting relevance in a specialized field. Meng’s career bridges classical control theory and emerging cognitive technologies, offering a unique perspective on how model-based approaches can inform modern autonomous systems.