Yanyan Hou
Papers
4
Total Citations
79
H-Index
4
About
Yanyan Hou is a dynamic robotics and intelligent systems researcher whose work spans soft robotics, autonomous mobile systems, and AI-driven computer vision. His most influential contributions lie in the design and analysis of soft pneumatic actuators, where he has developed novel composite-structure grippers capable of nuanced, adaptive grasping — work that has attracted significant scholarly attention, with his modeling and gripper design studies accumulating 27 and 21 citations respectively since 2022. By engineering pneumatic networks that operate independently yet cooperatively, Hou has advanced the practical viability of soft-robotic systems for real-world manipulation tasks. Beyond soft robotics, Hou has made notable strides in mobile robot navigation, proposing an optimized path-planning framework that integrates the Gray Wolf Algorithm with self-powered sensors to enable intelligent obstacle avoidance in complex environments — a study that has already garnered 20 citations. His research also extends into Industry 5.0 applications, where he developed an improved YOLOv5s-based model for precise equipment identification and localization on production lines. Collectively, Hou's interdisciplinary portfolio — bridging mechanical design, bioinspired algorithms, and deep learning — positions him as a promising contributor to the future of intelligent robotics and smart manufacturing.
Research Focus
Key Achievements
Top Papers
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