drone-simulation

Multicopter UAV simulation for control/RL experiments.

Multi-agent drone swarm simulation framework built on PyBullet for robotics and reinforcement learning.

A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.

NSER-IBVS: Numerically Stable Efficient Reduced Image-Based Visual Servoing with knowledge distillation for autonomous drone control and navigation in GPS-denied environments. ICCV 2025

🚁 Fly-in — A Python drone routing and simulation system focused on graph algorithms, pathfinding, scheduling, and optimization.

Modern drone control station

Simulation of drone navigation through a procedurally generated disaster environment in CoppeliaSim. Features a quadcopter equipped with an RGB-D camera, manual keyboard or RC joystick control and dynamic obstacle generation for AI-based navigation and dataset collection.

Fly-in is a graph-based drone routing simulator that uses capacity-aware pathfinding and real-time Pygame visualization.

Prototype of a digital twin for Crazyflies

Run drone simulators, firmware, and experiment scripts from a unified interface (currently Sphinx, more planned)

AI-powered drone swarm simulator that converts images into optimized 2D and volumetric 3D formations using computer vision and swarm physics.

Fire detection & precision landing drones with DroneKit, YOLOv4, OpenCV and ROS

Efficient drone routing system that navigates multiple drones through connected zones while minimizing simulation turns and handling movement constraints.

using Pysimverse

A flight script to fly drone in octahedron pattern with spatiotemporal precision

Deterministic toy demo of a layered weak-signal sensing architecture for low-altitude small-drone style anomaly detection using synthetic data. Simulation-oriented proof-of-behavior companion to PaperBridge1.

Complete drone show setup with ArduPilot SITL, Skybrush integration, synchronized choreography, and fleet management for up to 150+ drones.

CoppeliaSim drone with python driven object implementation and keyboard control.

Preflight feasibility checker and mission simulator for beyond-visual-line-of-sight (BVLOS) drone operations - energy, wind, geofence, and contingency analysis

COM6104 Week 6 lab — Reinforcement Learning with a custom drone landing environment, using Gymnasium, Stable Baselines3 (PPO), and OpenCV visualization.