In this video, I explore how Deep Deterministic Policy Gradient (DDPG) combined with 3D hand gesture recognition revolutionizes control systems for underactuated quadrotor drones! 🕹️ By integrating AI-driven rewards with a Proportional-Integral-Derivative (PID) controller, this method significantly improves the UAV's flight stability and hovering capabilities. 🛠️

You'll see real-world results verified on a DJI Tello Drone, showing how this AI approach outperforms traditional PID controllers in both accuracy and computational efficiency. 📊 Six reward functions normalized between 0 and -4000 were tested across 2500, 5000, 7500, and 10,000 training episodes. The best performance? Achieved at just 2500 episodes! 🚀

If you're into drone tech, AI, or just curious about how advanced algorithms can push the boundaries of UAV capabilities, this video is for you! 🔥 Don't forget to like, share, and subscribe for more cutting-edge tech insights! 💡

#UAV #Drones #AI #DeepLearning #DDPG #GestureControl #TechInnovation #DJITello #PIDControl #DroneTechnology

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