MARS MISSION: INGENUITY SIM
A hackathon project simulating autonomous drone exploration, Martian flight physics, obstacle detection, and command-based mission planning.
Explore the Mission
A hackathon project simulating autonomous drone exploration, Martian flight physics, obstacle detection, and command-based mission planning.
Explore the MissionThe Mars Drone Simulation is a hackathon project inspired by NASA’s Ingenuity helicopter. The goal of the project is to simulate how a drone could scout Mars terrain, avoid obstacles, collect telemetry, and follow autonomous flight commands in a low-atmosphere environment.
This project combines space exploration, programming, physics simulation, and mission-control style design into one interactive experience.
Image: NASA/JPL-Caltech | Open direct image | Source page
Mars exploration is difficult because drones must operate in a thin atmosphere, navigate unknown terrain, handle communication delays, and make decisions without constant human control. Our project explores how autonomous drone logic could help future missions scout areas that rovers cannot easily reach.
Mars has a very low-density atmosphere, making flight much harder than on Earth.
Commands from Earth cannot instantly reach Mars, so drones need autonomous decision-making.
The drone must identify obstacles, dangerous surfaces, and possible scouting paths.
Our simulation models a drone mission on Mars using command queues, environmental physics, and telemetry tracking. The drone follows programmed flight paths while responding to simulated Martian wind drift, obstacles, and mission objectives.
The user starts the simulation and loads the Mars environment.
The drone receives planned movement commands such as forward, rotate, hover, and land.
The drone executes commands while responding to wind, limited lift, and obstacles.
The system displays status, location, battery level, mission progress, and flight results.
The drone follows programmed instructions and simulates independent mission behavior.
Martian wind patterns affect drone movement and create a more realistic flight challenge.
The environment includes rocks, craters, and surface hazards that the drone must avoid.
The simulation displays mission status, drone location, system health, and flight data.
The project includes concepts like lift, drag, propulsion, and low-atmosphere flight.
The interface is designed to feel like a real NASA-inspired control system.
The simulation is designed to run as a Python-based project with a web page explaining the mission, design choices, features, and hackathon purpose.
Used to build the main drone simulation logic and command system.
Used for graphics, images, and visual rendering in the simulation.
Used to create the project website and explain the hackathon concept.
Used to represent lift, movement, atmosphere, and environmental conditions.
System: ONLINE
Mission: Jezero Crater Scouting Simulation
Drone: Ingenuity-Inspired Scout Unit
Atmosphere: 1% Earth Density
Propulsion: High-RPM Blade Simulation
Autonomy: Command Queue Enabled
Environment: Wind Drift and Surface Obstacles Active
Image: NASA/JPL-Caltech/ASU | Open direct image | Source page
These are the online image sources used by this website. The images are linked directly in the HTML using full web URLs, so the site can load them without local image files.
NASA/JPL-Caltech artist concept of Ingenuity on Mars.
NASA Perseverance rover image from Jezero Crater.
First aerial color image of Mars by Ingenuity. Optional image for future sections.
This project demonstrates how computer science, cybersecurity-style systems thinking, aerospace concepts, and creative design can come together to solve a real-world exploration challenge. By creating this simulation, our team explored how autonomous systems can support future space missions where human control is limited by distance, time delay, and environmental risk.