Airflow Embedded Gas Injection

Airflow embedded gas injection and related airflow manipulation techniques are being investigated for diverse applications, ranging from improving drone flight stability and predicting human motion to optimizing building ventilation and enhancing gas detection. Current research focuses on developing accurate airflow models, often leveraging machine learning algorithms and drawing inspiration from natural systems like the mammalian olfactory bulb, to achieve precise control and monitoring. These advancements have significant implications for robotics, human-computer interaction, public health (e.g., improved indoor air quality and infection control), and environmental monitoring.