Fall 2024 Space Teams University - Lunar Search & Rescue Design Challenge - Rules & Info #33
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https://github.com/SimDynamX/SpaceTeamsPro/releases/tag/v0.27.3 SpaceTeamsPRO v0.27.2 and earlier versions have a bug in the setup process where Git will not install correctly. v0.27.3 has been uploaded and will be deployed to spaceteamspro.com tomorrow (10/24). A workaround for this in the meantime is to install Git for Windows yourself (https://git-scm.com/downloads/win), then proceed with running FirstTimeSetup.bat and the rest of the install steps. |
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Some wiki pages had slight updates today clarifying what steps are needed in order to have a working Task 1 example sim from the starter code. |
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If there is conflicting info about the competition somewhere else, this page is the authoritative source.
Changelog:
2024/10/25
Added header for navigating the 3 most-used pages.2024/10/23
Task requirements tweaked. Some links rearranged. Large updates inside competition wiki pages.2024/10/22
Most information for Task Submissions added, Getting Started documentation released, Setup, Learning, and API documenation released.2024/10/21
Edited link for competition Q&A discussion category.2024/10/11
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COMPETITION
An incoming lunar lander has crashed and you have precious little time to mobilize all available lunar surface assets to find and rescue the crew. Your Mission – Design the best AI Mission Manager algorithms in Python to conduct Search & Rescue (SAR) operations on the Moon.
Test and Experience your Mission in a high-fidelity lunar operations simulation using Space Teams PRO.
Apply Here (Closed):
https://ig.utexas.edu/texas-space-grant/2024/space-teams-university-lunar-search-rescue-design-challenge/Scenario
Important Dates
Competition Rules
SOFTWARE
Space Teams PRO is a fully programmable space system design, simulation and analysis platform for mission planning and operations. You can build virtually any space mission within Space Teams, as it provides a digital twin of the entire solar system and the physics of the space environment. You can import CAD and analytical models of your own systems, spacecraft, habitats, robots or anything. For this competition you will be using it to visualize the lunar search and rescue in action, and to test your designs as you optimize your search strategy using various assets in the lunar environment.
Participants will receive a free account on Space Teams PRO for 3-months.
More information on the software is provided in the links below.
LINKS / HELP
Competition Application (Closed)
https://ig.utexas.edu/texas-space-grant/2024/space-teams-university-lunar-search-rescue-design-challenge/Getting Started Document - Everything you need to guide you through the startup process
Learning Videos
A full set of introductory video lessons for Space Teams PRO and this competition. https://www.youtube.com/playlist?list=PLV9n3IHgy_dTQ1Lumj-QYev9qfvlQIndE
STPro Setup & Learning for Competition https://github.com/SimDynamX/SpaceTeamsPro/wiki/STU-Lunar-SAR-Competitor-Setup-&-Learning
Python API Documentation https://github.com/SimDynamX/SpaceTeamsPro/wiki/STU-Lunar-SAR-API-Docs
Account Creation and "Org" (Organization/Team) management, as well as a place to download Space Teams PRO. Make an Org for your competition team.
Rules & Info for this competition, with a comments section for questions on rules.
Discussion Category for other Q&A related to the competition
Public-facing website for technical user documentation, discussions, and bug tracking for Space Teams PRO. Come here to learn about the Space Teams platform.
Written technical documentation for general Space Teams PRO usage. Includes installation and setup guides.
Contact Competition Team - Not for Technical Q&A
SUBMISSIONS
Participants will complete two tasks prior to their final submission. Each task progressively increases in difficulty, helping you refine and implement an AI Mission Manager capable of conducting Search and Rescue (SAR) operations on the Moon. The tasks are outlined as follows:
Task 1: One Robot Easy Search
Design/code and submit your AI Mission Manager script that directs one robot/rover to locate the crash site.
Task 2: One Robot Difficult Search
Improve your Mission Manager code so that you can locate a crash site under more challenging conditions.
Final Submission: Full Scenario Difficult Search
Design the most advanced version of your Mission Manager code to find the crash site in challenging conditions.
Special Submission: Extend Sim and Impress the Judges (Optional)
In addition to refining the AI Mission Manager, participants have the option to submit a Special/Advanced Submission by making significant innovative extensions to the Lunar Search & Rescue simulation. This could be related to the technology used to accomplish the challenge, or it could be additional custom designed assets and activities operating in the lunar environment. This submission is scored based on technical depth of the additional innovations and/or demonstration of novel concepts for space systems or operations in the lunar south pole environment.
In order to qualify for the special submission, your team must have a valid submission for the 1,2, and Final tasks.
Here are several examples that would constitute a significant extension to the simulation:
Task Submission Requirements
Teams will submit their code and supporting assets through GitHub, by submitting a form including a link to the exact commit that represents that submission. Before this, the teams will need to add
Read
permissions for their copy of the STU_Lunar_SAR repository to the (TBD) GitHub user account. The judges will access your repo on GitHub and run the simulation themselves in order to give feedback and do scoring.JUDGING
Push
command is agit commit
and agit push
.PRIZES
All prizes are USD amounts of scholarships given out by the Texas Space Grant Consortium and meant to be shared across team members.
Main Competition:
Special Competition
For questions that aren't about the rules, post them in the 2024 Lunar SAR Competition Q&A discussion category.
Post your questions about these rules below.
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