Papers
5
Total Citations
43
H-Index
4
About
Chen Ye is a robotics and autonomous systems researcher whose work spans robot navigation, 3D mapping, and intelligent control systems. His early contributions focused on reactive navigation, developing sub-goal seeking approaches that enable robots to navigate complex, unknown environments — work that has garnered 16 citations and established a foundation for his subsequent research. Ye has made significant strides in large-scale 3D mapping, introducing N³-Mapping, a neural signed distance field framework that leverages surface normals to achieve more accurate environmental reconstruction than conventional projective methods, earning 8 citations since 2024. His follow-up work, UN3-Mapping, further advances this domain by incorporating uncertainty estimation into neural mapping pipelines. In multi-robot systems, Ye developed robust loop closure selection techniques that improve map fusion reliability by filtering perceptual aliasing errors — a critical challenge in collaborative SLAM. More recently, he has pioneered the integration of digital twin technology with industrial robotic arm control, combining reinforcement learning and fuzzy PID methods to enable intelligent remote operation, attracting 11 citations within its first year. Across these diverse contributions, Ye consistently bridges theoretical innovation with practical autonomous systems applications.
Research Focus
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