This project addresses urgent safety, efficiency, and cost challenges in the roof inspection industry by developing a robotic platform that combines the mobility of drones with the terrain adaptability of legged robots. Roof inspection remains one of the most hazardous construction tasks in the United States, with a significant portion of injuries and fatalities attributed to falls and unstable surfaces. By equipping aerial robots with legged mobility and advanced perception capabilities, this project enables safe, detailed inspection on sloped roofs, reducing risk to human inspectors while improving access and inspection quality in challenging environments. The hybrid aerial-hexapod robot autonomously conducts detailed inspections by integrating visual, tactile, and light-detection and ranging (LiDAR) data to detect structural anomalies, surface degradation, and moisture intrusion. The resulting robot can seamlessly switch between flight mode and legged mode to navigate multi-layered and irregular roof structures, supporting scalable and task-specific operations. The project also offers impactful educational and outreach opportunities, including summer STEM workshops for K-12 students and teachers, as well as open-access datasets for robotics and artificial intelligence education. The research team collaborates with industry partners to ensure the system addresses real-world operational needs and facilitates technology transfer. This research addresses the scientific chal