Papers
2
Total Citations
9
H-Index
2
About
Dr. Qingquan Yan is a robotics engineer whose research focuses on sensor integration and control systems for bio-inspired and humanoid robots. His work centers on two key areas: force/torque sensing for humanoid locomotion and flexible multi-joint robotic systems for industrial inspection. In his highly cited 2013 paper, Dr. Yan developed signal processing methods for a six-axis force/torque sensor embedded in a humanoid robot’s foot, enabling more stable and adaptive walking by accurately measuring ground reaction forces. This contribution has been foundational for researchers working on bipedal balance and tactile feedback. His 2017 work on a snake-like robot for vessel inspection demonstrates his versatility, where he designed a control system for a flexible multi-joint mechanism capable of navigating confined, hazardous environments. While his citation counts reflect a focused, early-career impact, Dr. Yan’s practical, application-driven approach—bridging sensor hardware and control software—positions him as a promising innovator in field robotics. His achievements highlight the importance of integrating robust sensing with adaptive control for real-world robotic systems.
Research Focus
Key Achievements
Top Papers
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