Max Robotics — Global Service Robot Directory + US Certification

About

Xingyi Song is a leading researcher in soft robotics and magneto-active materials, with a focus on designing intelligent, shape-morphing systems for biomedical and microengineering applications. Their most influential work, "High-throughput fabrication of soft magneto-origami machines" (2022), has garnered 105 citations and introduces a scalable method for creating soft robots that can wirelessly change shape and move under magnetic fields—overcoming the structural limitations of earlier designs. This breakthrough enables more complex, functional machines for untethered biomedical tasks. Song has also advanced the field of magnetically responsive microstructured functional surfaces (MRMFS), as detailed in their 2024 review, which has already attracted 10 citations. This work systematically explores how microstructured surfaces can be dynamically controlled via magnetic actuation, offering wireless, noninvasive control for applications in microfluidics and smart adhesives. By merging origami-inspired design with high-throughput fabrication, Song’s contributions are paving the way for next-generation soft robots and adaptive surfaces, with significant potential in medical devices and lab-on-a-chip technologies.