Wenlei Xiao

Papers

Total Citations

166

H-Index

About

Wenlei Xiao is a prominent researcher specializing in robotic additive manufacturing, computational geometry, and advanced path planning methodologies. His work sits at the intersection of robotics and manufacturing engineering, where he has made significant contributions to solving some of the field's most persistent technical challenges. Xiao's most influential contribution, "Nonplanar slicing and path generation methods for robotic additive manufacturing" (2018), has garnered 138 citations, establishing him as a leading voice in moving beyond the traditional layer-by-layer planar deposition paradigm. By developing nonplanar slicing strategies, his work enables robotic systems to fabricate geometrically complex structures with improved surface quality and mechanical performance — a breakthrough that has resonated widely across academia and industry alike. His complementary research on feature-based five-axis path planning further demonstrates his systematic approach to tackling the limitations of conventional additive manufacturing workflows, particularly those arising from standard STL-format geometric representations. This body of work collectively pushes the boundaries of what robotic fabrication systems can achieve in terms of precision, flexibility, and geometric fidelity. Xiao's research has meaningfully advanced the theoretical and practical foundations of next-generation manufacturing, making his work essential reading for students and researchers exploring the future of intelligent, robot-assisted fabrication.