Autonomous Drone Experiment Programming AI Drone System to see the world.

🚨 SUBSCRIBE: https://bit.ly/3sSl5Qs 🚨 Steam: https://store.steampowered.com/app/29... Discord:   / discord   X.com Twitter: asiliforest In this Unity experiment, I stumbled onto a counter-intuitive breakthrough in autonomous drone programming. Standard wisdom says that giving an AI more data is always better. When programming a drone to navigate, you would assume a wide Field of View (FOV)—like $90^\circ$ or $360^\circ$—is essential for avoiding obstacles.I was completely wrong.In this video, I show how narrowing the drone's "cone view" to just $12^\circ$ actually fixed its pathfinding confusion. By reducing sensory noise, the drone stopped "over-thinking" distant obstacles and started making clean, decisive movements.We also dive into the critical role of Waypoint Tolerance. A wider tolerance allowed the drone to satisfy complex navigation conflicts when paths were hidden, preventing it from getting stuck in infinite correction loops.If you are interested in Game AI, Unity robotics, or just cool programming experiments, this video is for you. #Unity3D #GameAI #DroneProgramming #Pathfinding #GameDev #AutonomousDrones