Papers
1
Total Citations
7
H-Index
1
About
Yubin Jin is a robotics researcher whose work focuses on the control and trajectory planning of flexible manipulators—a critical area for advancing precision in automated systems. Jin’s major contribution lies in developing an improved adaptive particle swarm optimization algorithm integrated with fuzzy PD control, designed to enhance path accuracy while minimizing vibrations in flexible robotic arms. This work, detailed in their most-cited 2025 paper (7 citations), addresses a persistent challenge in robotics: the gap between theoretical models and practical, high-performance control. By combining swarm intelligence with adaptive fuzzy logic, Jin’s approach offers a more robust solution for real-time trajectory tracking, pushing flexible manipulators closer to industrial deployment. Their research is particularly notable for tackling the inherent instability and nonlinear dynamics of flexible structures, which have long limited their use outside laboratory settings. With a growing citation impact, Jin is establishing themselves as an emerging voice in intelligent robotic control, contributing to the next generation of safer, more accurate, and vibration-resistant manipulators for manufacturing and automation.
Research Focus
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Top Papers
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