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About

Fubao Xie is a researcher specializing in advanced additive manufacturing and robotic systems, with particular expertise in multi-axis 3D printing, path planning, and soft robotics. His work has made significant contributions to overcoming fundamental limitations of conventional fused deposition modeling (FDM) technology, most notably the stair-step effect and dependency on support structures that plague traditional three-axis printing systems. Xie's most influential contribution, "Path smoothing and feed rate planning for robotic curved layer additive manufacturing" (2020, 78 citations), established foundational methods for optimizing robotic printing trajectories, enabling more precise and efficient fabrication of complex geometries. Building on this, he has developed innovative algorithms for multi-axis printing path generation, including potential field-based and iso-planar approaches, that dramatically expand what robotic manufacturing systems can achieve. His 2022 work on support-free robotic 3D printing further demonstrated practical implementations of these techniques in real manufacturing scenarios. Beyond additive manufacturing, Xie has explored continuum robotics, contributing a rigid-flexible coupling manipulator design suited for delicate applications such as minimally invasive surgery and search-and-rescue operations. With over 140 cumulative citations, his research meaningfully advances the intersection of robotics, intelligent path planning, and next-generation manufacturing.