Papers
2
Total Citations
8
H-Index
2
About
Yufei Guo is a researcher specializing in robotics, autonomous navigation, and intelligent control systems, with a particular focus on enabling robots to operate reliably in complex, unstructured environments. His work bridges perception, localization, and adaptive control, addressing critical challenges in real-world robotic deployment. Notably, his 2024 paper on trajectory tracking control for wall-building robots in uncertain viscoelastic environments (5 citations) introduces novel control strategies that account for material deformation and environmental unpredictability, advancing the field of construction robotics. In another highly cited 2024 study (3 citations), Guo tackles robot relocalization in indoor settings by classifying corners into eight semantic categories and integrating deep learning with a two-dimensional grid map built from multi-sensor data. This approach enhances Monte Carlo localization accuracy in unstructured spaces, demonstrating a practical fusion of semantic understanding and probabilistic estimation. Though his citation counts are early indicators of growing influence, Guo’s work is notable for its applied focus—directly improving robot autonomy in real-world tasks like construction and indoor navigation. His research promises significant impact for students and engineers developing next-generation mobile robots.
Research Focus
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Top Papers
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