
Other Points / Comments
This project is the conceptual backbone of the LLASO initiative; all other projects reference it
Encourage teams to let students define their own cargo manifest
Can be integrated with Project 3's unloading robot as a shared environment
Major objective: optimization of packing capacity and efficiency of unloading on the Moon

Examples of Excellence
The simulation includes a working robot avatar that retrieves specific cargo items by name, location, or tracking number
The system produces a log file that could be sent to a supply-chain software system
Students compare cylindrical vs. rectangular packing efficiency and present the result as data
Multiple end-of-life scenarios are implemented, with transitions between them

Examples of Innovation
A dynamic cargo manifest that updates as items are removed over multiple 'missions'
An AI co-packer that suggests the optimal load order for a given cargo list
An environmental-hazard toggle that simulates what happens if the module is not pre-positioned before a plume blast

Suggestions for High School Students
You may use a cylindrical OR rectangular container cross-section
Simulation fidelity is conceptual — an exact physics engine is not required
Choose any VR platform you like (Unity, Unreal, WebXR, etc.)
A single scenario is fine for a junior team; advanced teams can do multi-scenario
This can be a game (optimization) or a math model with a visualization — pick your team's strength
Build the Earth packing phase first, get it working, then add the lunar unloading phase