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.

Multicopter UAV simulation for control/RL experiments.

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.

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

CoppeliaSim drone with python driven object implementation and keyboard control.