SFT 2026-27 - Lunar Logistics Supply Chain (VR Simulation, Game or Math Model)

LLASO Project 1 - Lunar Logistics Supply Chain (VR Simulation, Game or Math Model)

NASA Reference Name: LLASO-P1-VR-2026


Executive Summary

Build a multi-step simulation (VR, game, or math model) that shows how a lunar cargo container is packed and loaded on Earth, then unpacked in lunar gravity after arrival. This is the conceptual backbone of the LLASO initiative — its environment and dimensions feed every other project. Objective: cover (1) Earth-side optimized packing/loading and (2) lunar arrival and pressurized unloading. Deliverable: a working simulation with at least an Earth phase and a lunar phase, demonstrating packing optimization and 1/6 g unloading. The overarching aim is to optimize packing capacity and the efficiency of unloading on the Moon.


Requested By

NASA HUNCH / Kennedy Space Center


Problem Statement

Optimize the packing solution for a cargo container up to 40 ft long (or a cylinder of equivalent length, 3 meters in diameter). The emphasis is an optimized way to pack and unpack a lunar cargo module on Earth, move it from the logistics hall to the lunar surface, and then unload it with minimum human involvement on the Moon — potentially using robot(s). Background: with the change of focus and the postponement of the GATEWAY station, the lunar logistics focus (DSLM) has shifted to Logistics and Optimization.


Propose the internal Structure to place all the supplies

Propose multiple sizes of supplies ( See Requirements )


Requirements Overview

Simulate a cylindrical or box cargo container module (~3 m dia., ~40 ft long)

Model CTBs, lockers, and canister cargo types, including unusual shapes

Track the location of CTBs, lockers, canisters, packing boxes, etc.

Include 1/6 lunar gravity physics on the Moon

Support both rack-stacking and free-float packing modes

Include loading and unloading sequences

Be usable with no prior VR experience, with a display


Major Constraints

Lunar gravity is 1/6 of Earth's — mass handling behaves differently

Regolith contamination must be excluded from all pressurized spaces

No specific commercial launch vehicle can be assumed — the design must be generic

The cargo module interior must stay accessible by robot or human


Key Challenges


Balancing load distribution in reduced gravity

Preventing collisions when cargo is floating during the transit phase

Designing an interface that works for both robot and human operators

Getting the most packaging into a container — safely, trackable, location-based — in the shortest time, then unloading it in a receiving building on the Moon


Please review more info below:

Requirements Spec

Other Points / Comments

Examples of Excellence

Samples of Innovation

User Stories



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