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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.
A web-based 3D simulation of the University of Minnesota campus, showcasing a drone fleet delivery service. It features dynamic interactions among helicopters, humans, robots, drones, packages, and porch pirates, utilizing design patterns and C++ best practices for a robust and efficient system.
A Unity-based quadrotor simulation for AI training, reinforcement learning, and autonomous drone navigation. Features realistic flight physics, ML-Agents integration and Python support.
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.