🌆 Enhance drone navigation with robust Visual Odometry and SLAM for urban canyons, focusing on realistic İstanbul environments and machine learning solutions.

Training of Drone Swarms using StableBaselines3, PettingZoo, AirSim and UE4

CarlaAir: Fly Drones Inside a CARLA World!! A Unified Infrastructure for Air-Ground Embodied Intelligence

Run OpenClaw locally on any GPU or CPU without API costs, supporting large models on low-memory hardware for free and offline use.

Integrate AirSim with ROS Noetic and PX4 SITL using Docker to simulate and test autonomous drones in a Linux container environment.

🌟 Discover resources for autonomous drone racing, from competitions to frameworks, enhancing your skills and knowledge in this exciting field.

🔍 Simulate a complete pentest using only native Windows tools, aligning with PTES standards and demonstrating real-world attack scenarios.

🚀 Automate API registration with the AirForce system, simplifying the process and enhancing your workflow. Ideal for developers seeking efficiency.

Autonomous drone path planning using A* algorithm in AirSim

Details How to Simulate a Drone Swarm Using Airsim or Gazebo

Project AirSim is Microsoft's evolution of AirSim, an advanced simulation platform for building, training, and testing autonomous systems in high-fidelity virtual environments

UAV flight data collection (pos, orientation, imgs .etc) with keyboard controlling from human

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Gesture and voice controlled UAV simulation using MediaPipe, Vosk speech recognition and Microsoft AirSim.

A drone swarm control extension for the OpenClaw platform.

Dual drone system to improve object detection for search and rescue.

This repository contains Dockerfiles and configuration files to run ROS Noetic with the AirSim ROS wrapper and PX4 SITL with MAVSDK server inside Docker containers, connecting to an AirSim simulator running on a Windows host via WSL2.

Self driving car with Deep Q-Learning

Curated resources for autonomous drone racing: AI Grand Prix, A2RL, RL tutorials Resources, tools, and starter code for autonomous drone racing competitions including the Anduril AI Grand Prix, AlphaPilot, A2RL, and NeurIPS Game of Drones. Covers simulation environments, reinforcement learning, computer vision, and trajectory planning.