Fall 2024 Space Teams University - Lunar Search & Rescue Design Challenge - Rules & Info

[connorjak]

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 Newly created.

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Rules & Info (Here)	Setup & Learning	STU API Docs	Q&A Discussions Category

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.

• University-level design/coding competition
• Teams of 1-10 undergraduate/graduate students
• $10,000 in prizes awarded for the Top Teams

Apply Here (Closed): https://ig.utexas.edu/texas-space-grant/2024/space-teams-university-lunar-search-rescue-design-challenge/

Scenario

• You begin with a high-fidelity Space Teams simulation that includes a habitat, crew, robots, rovers, and other assets that are already on the lunar south pole near Shackleton Crater performing lunar exploration and mining activities.
• When the lander crashes, the AI Mission Manager that you design/code (python) jumps into action and directs all assets to conduct search and rescue operations. Robots, rovers, and crew have various capabilities, limitations, resource requirements, actuators, and sensors (such as lights, cameras, antennas, lidar, IMUs, wheels, tools) that your Mission Manager can control via commands.
• The terrain is challenging with obstacles, slopes, and permanently shadowed regions.
• Instructions and example code are provided to help you interface your search and rescue code/algorithms with the sensor data and commands within Space Teams.
• Team submissions are scored based on how quickly they can find the crash site and bring a rescue crew to it.

Important Dates

• October 10th - Applications Open
• October 21st - Applications Close
• October 23rd - Competition Begins
• October 31st 11:59pm CT - Task 1 Submissions Due
• November 10th 11:59pm CT - Task 2 Submissions Due
• November 24th 11:59pm CT - Final Submissions Due
• November 24th 11:59pm CT - Special Submissions Due
• December 4th - Winners Announced

Competition Rules

• Team Qualifications:
  • 1-10 Texas undergraduate and graduate students in STEAM fields
  • Complete team application form on the Texas Space Grant website (https://ig.utexas.edu/texas-space-grant/2024/space-teams-university-lunar-search-rescue-design-challenge/)
  • A designated Team Leader/point of contact
  • A designated Faculty Advisor/point of contact
• Submissions must be made by 11:59pm Central Time on the due dates.
• Team members can be changed with permission, but the max remains 10.
• Judging is administered by the Texas Space Grant Consortium and results are final.
• There are rules on the allowed functions to use in submitted code for a valid submission that does not exploit or work-around the logic of the competition simulations. More details are in the API documentation below.

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

• https://drive.google.com/file/d/10vDI-6Tq24X1wKsIpurpXJzalxU-iwbD/view?usp=sharing

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

  • Starter code distributed from here: https://github.com/SimDynamX/STU_Lunar_SAR (use process in Setup & Learning for cloning this repository)

• 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.

• https://www.spaceteamspro.com/

Rules & Info for this competition, with a comments section for questions on rules.

• Fall 2024 Space Teams University - Lunar Search & Rescue Design Challenge - Rules & Info #33 (this page)

Discussion Category for other Q&A related to the competition

• 2024 Lunar SAR Competition Q&A discussion category

Public-facing website for technical user documentation, discussions, and bug tracking for Space Teams PRO. Come here to learn about the Space Teams platform.

• https://github.com/SimDynamX/SpaceTeamsPRO

Written technical documentation for general Space Teams PRO usage. Includes installation and setup guides.

• https://github.com/SimDynamX/SpaceTeamsPro/wiki

Contact Competition Team - Not for Technical Q&A

• [email protected]
• or [email protected]
• (512) 471-3583

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.

• Your objective is to conduct a search pattern to find the crash site. Once your laser range scanner detects the crashed lander, your program is successful.
• Conditions are 100% daylight, no obstacles, no power limitations, no communication loss, no need for cameras.

Visibility	Communication	Resource Management	Robots	Terrain	Obstacles	Completion Criteria
Daylight	No loss of signal	Infinite resources	Only one robot necessary	Crash site is not in shadow	None	Robot Finds Crash Site (moves nearby)

Task 2: One Robot Difficult Search

Improve your Mission Manager code so that you can locate a crash site under more challenging conditions.

• You are still controlling only one robot, but now you have obstacles to avoid, and the crash is within a permanently shadowed region (PSR), so directed lights (headlights, camera lights) are required, and you need a camera image of the crash site to find it.

Visibility	Communication	Resource Management	Robots	Terrain	Obstacles	Completion Criteria
Limited by lighting	No loss of signal	Infinite resources	Only one robot necessary	Crash site in shadow	Rocks block motion	Robot Finds Crash Site using Camera

Final Submission: Full Scenario Difficult Search

Design the most advanced version of your Mission Manager code to find the crash site in challenging conditions.

• You have multiple robots and crew, each with different capabilities (speed, power capacity, lighting) and limitations (slope, power utilization, oxygen utilization for crew).
• In addition to obstacles you have to be concerned with line-of-sight communication to relocatable antenna relays for data and commanding to/from the base.
• There are charging stations to replenish power supplies for assets when needed.
• In addition to building your strategy to find the crash site, you also need the crew to arrive at the site to rescue survivors and bring them back to the base.

Visibility	Communication	Resource Management	Robots	Terrain	Obstacles	Completion Criteria
Limited by lighting	Realistic loss of signal	Limited resources	All robots necessary	Crash site in shadow	Rocks block motion	Crew/LTV with Required Resources arrives at Crash Site

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:

• Modified Entity Behavior code for one or more of the robots which is able to persist through loss of signal and path-plan around obstacles to autonomously search
• Designing and model-importing a new robot, which has different performance characteristics that are justified by its design.
• Implementing computer vision, SLAM, or something else that makes productive use of the cameras on the rovers to improve the search
• Advanced Mission Manager code to do optimal control of entities based on autonomy or task-allocation algorithms
• Designing and importing other assets, such as habitats, spacecraft, vehicles, tools or other systems into the simulation along with entity behaviors to demonstrate operations of these additional elements within the simulation.
• Competitors are free to come up with their own ideas for special submissions

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

Task	Scored for Competition	Judge Feedback
1	No	Whether the submitted sim works, and whether any function usage is invalid
2	No	Whether the submitted sim works, and whether any function usage is invalid
Final	Yes	If submitted 72+ hours early, will check if submitted sim works, and whether any function usage is invalid
Special	(Separate scoring for special competition)	(None)

• All code and assets that are part of your mission manager & entity behavior scripts should be included in your GitHub repository.
• Git repo commit history will be used as a proof of integrity (many commits are good for collaboration and are a way to show technical depth of work)
  • NOTE: In the SpaceCRAFT app Project Management, the Push command is a git commit and a git push.
  • Let us know if there are circumstances where your submission git repository will not have a normal amount of commits
• If a submission is late, the judges may not give feedback.
• If the final or special submission is late, it will not be scored.

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:

• 1st Prize: $4000
• 2nd Prize: $3000
• 3rd Prize: $2000

Special Competition

• 1st Prize: $1000

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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.

[connorjak]

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.

[connorjak]

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.