Summary
This project aims to develop an intelligent mobile ground robot that integrates visual and olfactory sensory information for indoor odor, gas, and volatile organic compound (VOC) source localization. While current robotic systems primarily rely on visual perception (e.g., cameras) to interpret the environment, olfactory sensing provides complementary contextual information that can enhance environmental understanding and source localization performance. For instance, the presence of smoke may indicate a nearby fire source, and the aroma of coffee combined with visual cues can support more accu
