The AI Agent Autonomous Field Mapper employs advanced AI technologies to autonomously navigate and map agricultural fields. It captures detailed data about crop health, soil conditions, and field layouts, providing farmers with actionable insights to optimize their operations and increase yield. By utilizing real-time data collection and analysis, the agent significantly reduces the time and resources needed for traditional mapping methods.

The Multi-Agent-based Search and Rescue System in ROS is a robotics framework that leverages ROS for deploying multiple autonomous agents to perform coordinated search and rescue operations. Each agent uses onboard sensors and ROS topics for real-time mapping, obstacle avoidance, and target detection. A central coordinator assigns tasks dynamically based on agent status and environment feedback. The system can be run in Gazebo or on actual robots, enabling researchers and developers to test and refine multi-robot cooperation, communication protocols, and adaptive mission planning under realistic conditions.