Tao Gu

Southwestern University of Finance and Economics

Papers

Total Citations

H-Index

About

Tao Gu is a researcher specializing in intelligent logistics systems, robotics optimization, and AI-driven scheduling within the hospitality and service industries. His work sits at the intersection of operations research, artificial intelligence, and smart service delivery, with a particular focus on addressing the complex operational challenges posed by autonomous robot deployment in hotel environments. Gu's most notable contributions center on optimizing robot logistics systems under real-world constraints. His 2023 study tackled the critical challenge of intra-week demand fluctuations in hotel logistics, developing a multi-objective optimization framework that simultaneously minimizes operational costs while maximizing customer satisfaction — a significant practical advancement for the hospitality sector. Complementing this, his 2022 work introduced a heuristic algorithm grounded in Pareto optimality and nondominated sorting techniques to generate personalized, efficient scheduling schemes for hotel service robots, directly addressing gaps left by conventional approaches. Both papers have each accumulated 5 citations, reflecting emerging recognition in a rapidly evolving field where machine learning and autonomous systems are reshaping service industries. Gu's research provides actionable frameworks for hospitality operators seeking to integrate robotics intelligently, making him a notable contributor to the growing body of knowledge on AI-powered service automation and smart logistics management.