Papers
3
Total Citations
68
H-Index
3
About
Canxin Zhang is a leading researcher in multi-robot olfaction and indoor environmental sensing, with a focus on dynamic, naturally ventilated spaces. Their work pioneers the use of swarm intelligence—specifically particle swarm optimization—to enable teams of robots to collaboratively locate time-varying contaminant sources in complex indoor environments. Zhang’s 2019 study on source localization in dynamic indoor settings, which has garnered 47 citations, established foundational methods for real-time, adaptive odor plume tracking. Subsequent research extended these techniques to address three-dimensional source localization at unknown heights, a critical advancement for safety and ventilation applications. By experimentally validating these approaches in naturally ventilated spaces, Zhang has bridged the gap between theoretical algorithms and practical deployment. Their contributions are vital for environmental monitoring, emergency response, and building health, with cumulative citations exceeding 68. Zhang’s work stands out for its rigorous experimental design and innovative integration of robotics and fluid dynamics, offering scalable solutions for locating hazardous leaks in real-world, unpredictable conditions.
Research Focus
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