Energy-Optimal Trajectory Planning for Drones

Develop energy-aware trajectory planning for quadrotor drones using MATLAB's Robotics System Toolbox. This project implements model predictive control accounting for dynamic constraints, wind disturbances, and battery characteristics to generate optimal 3D flight paths. The tutorial covers waypoint generation, obstacle avoidance using RRT* algorithms, and real-time trajectory replanning. Practical applications include package delivery route optimization and aerial surveillance missions. Includes simulation benchmarks showing 40% energy savings compared to standard path planning methods, with complete MATLAB code for thrust allocation and drag force modeling.