Xiaoxu Wei

Papers

Total Citations

H-Index

About

Xiaoxu Wei is a researcher whose work sits at the intersection of advanced manufacturing, robotics, and autonomous systems. Their primary research areas include robotic machining path planning, intelligent trajectory optimization, and multi-sensor calibration for autonomous vehicles. Wei’s most notable contribution is a spatial path planning method for robotic milling of automotive casting components, which optimizes machining posture to significantly enhance production efficiency and quality while reducing human intervention. This work has garnered 12 citations and addresses a critical challenge in automated manufacturing. Additionally, Wei developed a global trajectory optimization approach using an improved ant colony algorithm for cold spray processes (11 citations), demonstrating expertise in bio-inspired optimization for industrial applications. More recently, Wei has contributed a comprehensive review on external extrinsic calibration of multi-modal imaging sensors (10 citations), a foundational topic for autonomous driving and intelligent transportation systems. This work synthesizes calibration techniques for integrating diverse sensor data, a key challenge in robotics and smart vehicle perception. Through these contributions, Wei bridges the gap between theoretical optimization algorithms and practical industrial and autonomous systems applications.