Summary
Autonomous navigation systems often struggle to interpret natural language commands and identify objects in indoor environments. This project addresses that challenge by developing a mobile robot that can understand user instructions and explore spaces to locate specified items. The system uses vision-language navigation to detect objects, map their locations and present results without manual input. The goal is to improve human-robot interaction and demonstrate how autonomous systems can support efficient indoor search and mapping tasks.