Development for Cooperative Aerial Robots Inspection (CARI) System

Abstract

This project is dedicated to developing a sophisticated Cooperative Aerial Robots Inspection (CARI) system aimed at revolutionizing mapping of extensive outdoor areas and providing vital support in emergency response, agricultural surveying, and terrain modeling. By deploying a heterogeneous fleet of aerial robots equipped with high-end sensors, the system will not only generate detailed point cloud maps but also collect crucial material and depth information, offering valuable insights for various sectors including disaster management, agriculture, forestry, and geospatial science.

Objectives of the proposed topic

1. Development of a Heterogeneous UAV Fleet: Assemble a diverse array of UAVs, each tailored with specific sensors like high-resolution cameras and LiDAR, to perform detailed inspections and mapping of outdoor environments.

2. Integration with ROS: Employ the Robot Operating System (ROS) for effective UAV coordination, ensuring smooth data integration and process management.

3. High-Quality Mapping and Critical Data Acquisition: Utilize advanced mapping techniques to create accurate representations of terrain and gather essential data for various applications, including emergency response, agricultural planning, and terrain analysis.

Evaluation criteria for the proposed topic

1. Multiagent Cooperative Strategy: Leverages a coordinated fleet of UAVs, enhancing the depth and breadth of data collection and analysis.

2. Diverse Data Acquisition: Integrates various sensors to capture a wide array of data types, providing comprehensive insights for different sectors.

3. ROS-Based System Integration: Utilizes ROS for robust system integration, enabling adaptive and autonomous mission execution.

4. Customized Applications for Critical Sectors: Develops targeted solutions for disaster response, agricultural and forestry management, and terrain modeling, addressing specific industry needs with precision and efficiency.