Xiannuan Liang
Papers
13
Total Citations
156
H-Index
7
About
Xiannuan Liang is a pioneering researcher in bio-inspired robotics and multi-agent systems, focusing on how principles from animal societies—particularly primates—can be applied to engineering challenges. Their major contributions lie in modeling coalition formation and communication strategies for mobile sensor and robotic networks, with a specific emphasis on intrusion detection. Liang’s most cited work (2009, 49 citations) uses game theory to analyze how robots form coalitions inspired by animal social behavior, while later research (2014, 23 citations) extends these models to incorporate primate-like social cognition, moving beyond simpler invertebrate analogs. Their 2011 paper on primate-inspired communication methods (20 citations) further demonstrates how understanding primate social systems can enhance coordination among mobile and static sensors. Liang’s work has practical implications for security and surveillance, showing how robots can collaboratively detect and capture intrusions in various perimeter shapes. With a total of over 140 citations across their top papers, Liang has established a unique niche at the intersection of ethology, game theory, and robotics, offering novel frameworks for designing more adaptive and intelligent multi-robot systems.
Research Focus
Key Achievements
Top Papers
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- 5A survey of biological collaboration models8 citations · 2012
- 6Modeling collaborative robots for detecting intrusions8 citations · 2009
- 7Mobile sensor intrusion detection under any shape of curve7 citations · 2012
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- 10Studying the stochastic capturing of moving intruders by mobile sensors5 citations · 2012