Xuan Xiao

Papers

Total Citations

H-Index

About

Xuan Xiao is an emerging researcher at the forefront of **robot learning and foundation models**, contributing to one of the most rapidly evolving intersections in modern artificial intelligence. Their most notable work, the 2025 survey *"Robot Learning in the Era of Foundation Models,"* has already garnered 21 citations in a short period — a testament to its timeliness and relevance within the robotics and machine learning communities. This comprehensive survey examines how large-scale foundation models — the same class of models powering breakthroughs in language and vision — are being adapted and applied to enable more capable, generalizable robotic systems. By synthesizing cutting-edge developments across this interdisciplinary landscape, Xiao has positioned themselves as a valuable synthesizer and guide for researchers navigating this complex field. The rapid uptake of this work reflects a growing appetite for structured overviews as the field accelerates. For students and researchers exploring embodied AI, autonomous systems, or the application of large pretrained models to physical-world tasks, Xiao's contributions offer an essential and authoritative entry point into the current state of the discipline.