Papers
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Total Citations
5
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1
About
Fenglan Sun is a researcher at the forefront of intelligent service systems, with a primary focus on the optimization of scheduling and resource allocation for autonomous robots in hospitality environments. Her work addresses a critical bottleneck in the deployment of service robots: the need for personalized, efficient, and real-time scheduling schemes. Sun’s most notable contribution is the development of a heuristic algorithm grounded in the Pareto optimal definition, which allows for the simultaneous optimization of multiple conflicting objectives—such as minimizing guest wait times while maximizing robot utilization. This approach, detailed in her 2022 paper "Scheduling Scheme Design of Hotel Service Robot," introduces a nondominated sorting method that generates a set of personalized, high-quality solutions rather than a single compromise. Although her citation count is currently modest (5 citations for this key work), the paper represents a foundational step in applying multi-objective optimization to the burgeoning field of service robotics. Sun’s research is particularly impactful for students and engineers seeking to bridge the gap between theoretical AI and practical, user-centric automation in the service industry.
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