Papers

2

Total Citations

10

H-Index

2

About

Zhixue Liao is a pioneering researcher at the intersection of robotics, operations research, and hospitality management, focusing on the optimization of service robot logistics in dynamic, real-world environments. Liao’s major contributions lie in designing intelligent scheduling and operation systems for hotel service robots that account for demand fluctuations, multi-objective trade-offs, and personalized service delivery. In a seminal 2023 study (5 citations), Liao developed a robot logistics system that integrates intra-week demand variability, robot-to-order interrelationships, and conflicting goals—cost minimization versus customer satisfaction—offering a robust framework for adaptive hotel automation. Building on this, a 2022 paper (5 citations) introduced a novel heuristic algorithm using Pareto optimality to generate nondominated, personalized scheduling schemes, directly addressing the scalability and customization challenges in service robotics. Though emerging, Liao’s work has already shaped how hospitality firms approach robotic workforce deployment, balancing efficiency with guest experience. By bridging algorithmic innovation with practical industry needs, Liao is establishing a foundation for smart, responsive service ecosystems, making their research essential reading for scholars in robotics, AI-driven logistics, and hospitality technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Operation design of a robot logistics system considering demand fluctuations in the hotel industry
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Southwestern University of Finance and Economics

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago