Xiaogao Xie

Papers

Total Citations

111

H-Index

About

Xiaogao Xie is a leading researcher in the field of multi-robot systems and bio-inspired sensing, with a primary focus on the challenging problem of odor and signal source localization. His work is distinguished by the development of advanced motion control strategies that enable robots to autonomously and efficiently locate the origin of airborne chemicals or stochastic signals. Xie’s most influential contribution is the design of a Finite-Time Motion Control Strategy (FTMCS), which integrates parallel and circular motion algorithms to drastically reduce the time required for odor source localization—a paper that has garnered 57 citations. He has also pioneered a Decision-Control System (DCS) for robot swarms, where collective decision-making based on concentration and wind data guides a group toward a source, earning 48 citations. More recently, his work on probability distribution-based cooperative search (6 citations) extends these principles to stochastic environments, treating each robot as a particle to estimate source position. Through these innovations, Xie has established himself as a key figure in autonomous robotics, offering practical solutions for environmental monitoring, search-and-rescue, and industrial safety.