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.

This contain a drone simulated in V-REP (CoppeliaSim)

Multicopter UAV simulation for control/RL experiments.

A Unity-based quadrotor simulation for AI training, reinforcement learning, and autonomous drone navigation. Features realistic flight physics, ML-Agents integration and Python support.

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 3D autonomous drone simulation with AI-powered flight capabilities using deep reinforcement learning. Features realistic physics, LiDAR obstacle detection, and a neural network that learns to navigate complex environments through both reinforcement learning and imitation learning from human demonstrations.

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.

Drone simulation, utilising AODV for routing

Drone controller simulation with the DJI Mavic 2 PRO

OpenTX model for XBox controller HID

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

A demonstration of hierarchical Durable Objects in Cloudflare Workers, enabling infinite nesting of manager/agent relationships through URL paths.

Simulating drone traffic flow with F#

Drone Dash @ Summer of Innovation 2023, IIT Dharwad

Created with StackBlitz ⚡️

Drone Delivery Simulation on the University of Minnesota Campus!

CoppeliaSim drone with python driven object implementation and keyboard control.