Papers
3
Total Citations
20
H-Index
3
About
Dapeng Fan is a leading researcher in robotics and motion control systems, with a focus on functional safety, sensor fusion, and real-time distributed control. His work addresses critical challenges in ensuring the reliable operation of robotic systems, particularly in joint drive mechanisms and inertially stabilized platforms. Fan’s most cited paper, “Functional Safety Analysis and Design of Sensors in Robot Joint Drive System” (2022, 9 citations), pioneers a systematic approach to preventing safety incidents by addressing sensor reliability in robot joint drives—a vital contribution to industrial and collaborative robotics. His earlier work, “Improved Angular Velocity Estimation Using MEMS Sensors with Applications in Miniature Inertially Stabilized Platforms” (2011, 8 citations), develops optimal state estimators using low-cost MEMS sensors, enhancing bandwidth and accuracy for stabilization systems. Additionally, his research on software synchronization in real-time Ethernet distributed motion control systems (2019, 3 citations) improves peripheral control performance for complex automation tasks. With a career spanning over a decade, Fan’s contributions are foundational to advancing safe, precise, and cost-effective robotic systems, making his work essential reading for engineers and researchers in robotics, mechatronics, and control systems.
Research Focus
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