Shili Xiang

Agency for Science, Technology and Research, Institute for Infocomm Research

Papers

Total Citations

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About

Shili Xiang is a leading researcher in intelligent logistics and autonomous mobile robotics, with a focus on optimizing material transport in smart manufacturing environments. Her work addresses critical challenges in scheduling battery-powered mobile robots and vehicles that must navigate complex constraints including multiple trips, time windows, and energy consumption. Xiang’s major contributions include pioneering frameworks for splitting long planning horizons into manageable segments, enabling efficient scheduling that accounts for variable payload weights and their impact on battery drain during trips. Her most cited paper, “Mobile Robot Scheduling with Multiple Trips and Time Windows” (2017, 6 citations), lays foundational algorithms for time-sensitive industrial logistics. She has further advanced the field by integrating energy consumption optimization directly into routing decisions, a vital step toward sustainable automation. With a growing citation footprint, Xiang’s research is instrumental for engineers and computer scientists developing next-generation material handling systems, where her work bridges theoretical scheduling models with real-world constraints like power management and extended operational timelines.