QuadAI: Reinforcement Learning & MPC for Agile Drone Control

🚀 Overview

QuadAI is an advanced AI-driven quadrotor control repository, integrating Model Predictive Control (MPC) and Reinforcement Learning (RL) to achieve high-performance, adaptive, and autonomous drone maneuvers. This project explores two state-of-the-art approaches for controlling a 2D quadrotor:

• MPC-Based Acrobatic Control: Optimized trajectory planning for executing aerial loops while maintaining stability.
• RL-Based Navigation with PPO: Training a quadrotor using Proximal Policy Optimization (PPO) to reach targets while avoiding obstacles.
• Robustness to Disturbances: Adaptive control mechanisms ensuring resilience to external perturbations.

📌 Hot Topics:

Reinforcement Learning (RL), Model Predictive Control (MPC), Proximal Policy Optimization (PPO), Robotics, AI for Control Systems, Trajectory Optimization.