Summary
This project explores predator-prey dynamics using TurtleBot 4 Lite robots in a ROS2 Humble environment. It integrates real-time sensor fusion (LiDAR, IMU, depth camera), SLAM-based mapping, and adaptive control strategies to simulate biologically inspired behaviors. The predator robot pursues a dynamically evading prey within an obstacle-rich environment, demonstrating real-time decision-making, and autonomous navigation. This work highlights the impact of sensor-driven autonomy and offers valuable insights into advanced robotic control, perception, and behavior modeling.