Max Robotics — Global Service Robot Directory + US Certification

About

Xinfu Chi is a researcher advancing the field of robotic manufacturing for advanced composite materials and textile preforms. His primary research areas include robot trajectory optimization, automated fiber placement, and intelligent path planning for complex three-dimensional structures. Chi’s major contributions lie in developing control methods that solve critical challenges in braiding and placement processes—such as stabilizing braiding angles on complex mandrels and enabling automated, high-precision placement of carbon fiber patches on small, high-curvature surfaces. His work on a robot trajectory optimization control for 3D complex preforms (2021, 10 citations) directly addresses the difficulty of robot teaching and inconsistent braiding quality, offering a discretized solution that improves preform mechanical properties. Additionally, his discrete path planning for carbon fiber patch placement (2023, 5 citations) tackles the labor-intensive manual placement of small components, promising faster, more reliable automation. Chi also innovated in textile manufacturing by applying an improved ant colony optimization algorithm and Radau pseudospectral method to optimize punching trajectories for warp-knitted vamps (2021, 2 citations), reducing operational complexity and inefficiency. Through these contributions, Chi is helping bridge the gap between manual craftsmanship and fully automated, high-quality composite and textile production.