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About

Jiheng Xu is a leading researcher in the field of indoor environmental robotics, specializing in active olfaction and contaminant source localization. His work addresses the critical challenge of rapidly identifying hazardous particle and gas leaks in dynamic indoor spaces, particularly under mechanical ventilation—a scenario where traditional methods often fail. Xu’s major contributions include the development and experimental validation of advanced particle swarm optimization (PSO) algorithms tailored for time-varying environments. His 2018 paper on an improved PSO method for locating time-varying indoor particle sources has garnered 46 citations, establishing a foundational approach for real-time tracking. He further advanced the field through comprehensive experimental studies, such as his 2019 work comparing three single-robot active olfaction algorithms (45 citations) and a multi-robot source localization method independent of airflow information (27 citations). Notably, his 2019 study on a comprehensive PSO method for dynamic mechanical ventilation environments (40 citations) demonstrates the practical applicability of his research. Xu’s experimental and numerical validations have significantly enhanced the reliability and autonomy of robotic systems for environmental monitoring, making his work essential for safety and emergency response in built environments.