Papers
2
Total Citations
14
H-Index
2
About
Guanyu Lin is a researcher focused on advancing robotics and intelligent systems, with key contributions in robot vision, simultaneous localization and mapping (SLAM), and wireless sensor networks for smart manufacturing. Lin’s most cited work, “Improvement of speeded-up robust features for robot visual simultaneous localization and mapping” (2013, 11 citations), introduces a modified SURF algorithm that enables robots to build persistent, scale-invariant visual maps—a foundational step for robust autonomous navigation in dynamic environments. This work demonstrates Lin’s ability to enhance feature detection and matching, critical for real-world SLAM applications. More recently, Lin’s 2021 study, “An Adaptive Location-Based Tracking Algorithm Using Wireless Sensor Network for Smart Factory Environment” (3 citations), addresses the challenge of precise indoor localization for self-propelled robots in Industry 4.0 settings. By proposing an adaptive location-based service (LBS), this work aims to reduce operational costs and improve tracking accuracy in smart factories. Though early in impact, Lin’s research bridges computer vision and industrial IoT, offering practical solutions for autonomous systems. With a focus on scalable, real-time algorithms, Lin’s work continues to support the evolution of intelligent robotics in complex environments.
Research Focus
Key Achievements
Top Papers
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