Papers
2
Total Citations
18
H-Index
2
About
Yunfei Zhou is a researcher specializing in robotics and intelligent control systems, with a focus on manipulator dynamics, automation, and vibration suppression. His work bridges simulation and real-world application, particularly in the domain of industrial robot arm operations. Zhou’s most cited paper, “Cartesian space robot manipulator clamping movement in ROS simulation and experiment” (2021, 10 citations), introduces a ROS-based framework for automating workpiece sorting through top-method clamping, significantly improving sorting efficiency and reproducibility. His second most cited work, “Active vibration control of flexible-joint manipulators using accelerometers” (2019, 8 citations), addresses a critical industrial challenge—joint flexibility caused by shaft windup, harmonic drives, and bearing deformation. By proposing a control strategy that relies on accelerometers rather than costly link-side encoders or torque transducers, Zhou offers a practical, cost-effective solution for enhancing manipulator precision and stability. These contributions demonstrate his ability to integrate simulation, experimental validation, and real-time control, making his research valuable for advancing automation in manufacturing and robotics. Zhou’s work is particularly relevant for engineers and researchers seeking to improve the performance and affordability of robotic systems in dynamic industrial environments.
Research Focus
Key Achievements
Top Papers
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