Max Robotics — Global Service Robot Directory + US Certification

About

Xiangnan He is a pioneering researcher at the forefront of advanced manufacturing, with expertise spanning 4D printing, multimaterial fabrication, micro/nanoscale manufacturing, and machine learning-driven structural design. His work has fundamentally advanced the field of smart materials and additive manufacturing, bridging cutting-edge fabrication techniques with functional, real-world applications. He gained significant recognition for his research on shape-memory polymers (SMPs) for digital light processing-based 4D printing, a landmark study that has accumulated over 316 citations, demonstrating how mechanically robust, UV-curable materials can enable programmable, stimulus-responsive structures. Building on this foundation, He pioneered centrifugal multimaterial 3D printing, enabling precise voxel-level arrangement of heterogeneous materials — work that has garnered over 214 citations and opened new possibilities for multifunctional object fabrication. His contributions extend to the nanoscale through two-photon polymerization-based 4D printing, advancing micro/nanostructure fabrication beyond traditional diffraction limits. Most recently, He has embraced artificial intelligence, applying machine learning to inverse design problems in hierarchical architectures, reflecting his commitment to pushing manufacturing intelligence forward. With a growing citation portfolio exceeding 630 citations, He represents a transformative voice in next-generation manufacturing research.