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March 3, 2026
Open Access
YOLO-FOA: A lightweight rotational target detection algorithm based on improved YOLO for optical fiber robot
YW
Yingqi Wu
Beijing University of Posts and Telecommunications
JC
Jialong Chen
Beijing University of Posts and Telecommunications
XY
Xiuli Yu
Beijing University of Posts and Telecommunications
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Key Points
Target detection is significantly improved using the YOLO-FOA algorithm, specifically designed for optical fiber robots.
The algorithm is lightweight, allowing for efficient performance without high computational costs, enabling quicker operations.
Improvements in detection accuracy enhance the functionality of robots used in optical fiber tasks, indicating promising applications.
This approach showcases advancements in robotic technology, suggesting further potential in automation across various industries.
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Wu et al. (Sun,) studied this question.
synapsesocial.com/papers/69a7615cc6e9836116a2f362
https://doi.org/https://doi.org/10.1016/j.birob.2026.100273
YOLO-FOA: A lightweight rotational target detection algorithm based on improved YOLO for optical fiber robot | Synapse