L3Harris tasked our team with designing a mobile robot capable of exploring dangerous post-disaster environments without risking human lives. We developed an autonomous robot for complex search and rescue missions that navigates obstacles including curbs, rubble, and uneven terrain. The robot uses sensors similar to those in self-driving cars to detect obstacles and generate 3D environmental maps, enabling autonomous navigation decisions and preventing the robot from becoming stuck. We transmit collected maps and location data to operators in real-time.
We designed a simple, modular frame that facilitates rapid field repairs and future component upgrades. Lightweight materials provide structural rigidity while maintaining portability. We mounted cameras and laser sensors to the frame, allowing the robot to detect environmental features such as trees and buildings. Metal paneling protects internal systems against water, dust, and electrical hazards. The compact size enables easy transport of multiple robots for coordinated operations.
We delivered an autonomous robot that navigated dynamic urban environments using sensor fusion. The system provides user control over mapping parameters and driving modes. We programmed the robot to mark identified obstacles, supporting future rescue team operations. The modular design extends operational lifetime and enabled repeated field deployment. Our robot serves as a reconnaissance platform that identifies and maps hazardous conditions, protecting rescue workers from dangerous environments.
