Development for Cooperative Aerial Robots Inspection (CARI) System
Team Name: CARI
This project provides an innovative approach to outdoor mapping and scanning response through the development of the Cooperative Aerial Robots Inspection (CARI) system. Leveraging a heterogeneous fleet of Unmanned Aerial Vehicles (UAVs) equipped with state-of-the-art sensors, the CARI system aims to revolutionize the acquisition of high-resolution spatial data across vast areas. This multi-agent system facilitates real-time, accurate, and comprehensive environmental analysis for applications in disaster management, agriculture, forestry, and geospatial sciences. Through collaborative efforts, these aerial robots offer enhanced efficiency in terrain modeling, crop health monitoring, and rapid emergency assessment, providing crucial data that supports informed decision-making and effective management of resources in critical sectors.
Team Member:
Yuxiao Zhu | Class of 2027 | Leader | Applied Mathematics and Computer Science |
Xintong Zhang | Class of 2027 | Technical Support | Applied Mathematics and Computer Science |
Shu Pu | Class of 2026 | Market Research | Applied Mathematics and Computer Science |