Multicopter UAV simulation for control/RL experiments.
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Updated
Nov 11, 2023 - Python
Multicopter UAV simulation for control/RL experiments.
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.
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.
Modern drone control station
Fire detection & precision landing drones with DroneKit, YOLOv4, OpenCV and ROS
CoppeliaSim drone with python driven object implementation and keyboard control.
A flight script to fly drone in octahedron pattern with spatiotemporal precision
Prototype of a digital twin for Crazyflies
A cellular automaton framework for simulating and benchmarking drone swarm cooperation algorithms (Reinforcement Learning, Genetic Algorithms, etc.).
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