Papers
2
Total Citations
39
H-Index
2
About
Yiliu Liu is a leading researcher in the safety and control of autonomous multi-robot systems, with a particular focus on risk analysis in hazardous and dynamic environments. Her work bridges the gap between theoretical safety frameworks and practical robotic applications, making significant contributions to how complex fleets of mobile robots are managed in high-stakes settings like chemical laboratories and industrial zones. Liu is best known for applying advanced hazard analysis techniques—specifically System-Theoretic Process Analysis (STPA) and Bowtie models—to compare centralized, distributed, and hybrid control architectures for autonomous systems. Her most cited paper (2020, 33 citations) provides a foundational comparison of these architectures, demonstrating how different control structures affect system safety and risk. In subsequent work (2021), she extended this research by integrating STPA with the Analytic Hierarchy Process (AHP) to evaluate trade-offs between control complexity and safety in multi-robot systems. Liu’s research is particularly notable for its practical relevance: her findings directly inform the design of safer, more resilient robotic fleets operating in environments where human-robot and robot-robot interactions pose significant risks. Her work has become essential reading for engineers and researchers developing autonomous systems for industrial and laboratory settings.
Research Focus
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