Chaoyue Niu

University of Southampton, University of Sheffield

Papers

Total Citations

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About

Chaoyue Niu is a robotics researcher specializing in autonomous navigation and precision manufacturing, with a focus on forest environments and small-scale rover systems. His work bridges computer vision and machine learning to enable low-cost, on-board perception for field robotics. Niu’s key contributions include developing monocular depth estimation from low-viewpoint imagery for sparse rover swarms, as demonstrated in his 2020 paper (9 citations), which replaces expensive sensors with sophisticated vision techniques. He further advanced off-road navigation with an end-to-end learning framework (2023, 7 citations) that allows small rovers to infer traversability in dynamic forest terrain using noisy sensors. More recently, Niu has applied learning-based methods to robotic machining, predicting errors for high-precision manufacturing (2026, 2 citations). His work is notable for addressing the unique challenges of small-sized rovers in unstructured environments, with potential applications in forestry, search-and-rescue, and planetary exploration. With a growing citation record, Niu is establishing himself as a contributor to practical, embedded AI solutions for field robotics.