A high-performance quadrotor deep reinforcement learning platform built upon IsaacGym.

This project contains informed RRT* path planning, minimum-snap trajectory generation, nonlinear geometric controller for aggressive trajectory tracking and hover, and a quadrotor simulator

Undergraduate Thesis “Perception-constrained Visual Servoing Based NMPC for Quadrotor Flight”

A curated list on drones swarms and flocking behaviours

🛸 Developed PID controllers for controlling quadrotors in 1-D, 2-D, and 3-D control in MATLAB simulation environment.

A Unity-based quadrotor simulation for AI training, reinforcement learning, and autonomous drone navigation. Features realistic flight physics, ML-Agents integration and Python support.

Quadrotor (Quadcopter) linear and non-linear controller simulation with SIMULINK MATLAB

hector_quadrotor for UAVs swarm simulation.

Aggressive Maneuvers for Quadrotor - Minimum Snap Trajectory + Nonlinear Controller - Gazebo ROS

This is a Quadrotor Simulation Project on MATLAB Simulink which includes Benchmarking and visual Output in Blender.

Quadrotor gymnasium environments and baseline RL implementations.

Project for the "Distributed Robot Perception" course for the Artificial Intelligent System master degree @ University of Trento