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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Jeremy Frank, left, and Caleb Adams, right, discuss software developed by NASA’s Distributed Spacecraft Autonomy project. The software runs on spacecraft computers, currently housed on a test rack at NASA’s Ames Research Center in California’s Silicon Valley, and depicts a spacecraft swarm virtually flying in lunar orbit to provide autonomous position navigation and timing services at the Moon. NASA/Brandon Torres Navarrete Talk amongst yourselves, get on the same page, and work together to get the job done! This “pep talk” roughly describes how new NASA technology works within satellite swarms. This technology, called Distributed Spacecraft Autonomy (DSA), allows individual spacecraft to make independent decisions while collaborating with each other to achieve common goals – all without human input.
NASA researchers have achieved multiple firsts in tests of such swarm technology as part of the agency’s DSA project. Managed at NASA’s Ames Research Center in California’s Silicon Valley, the DSA project develops software tools critical for future autonomous, distributed, and intelligent swarms that will need to interact with each other to achieve complex mission objectives.
“The Distributed Spacecraft Autonomy technology is very unique,” said Caleb Adams, DSA project manager at NASA Ames. “The software provides the satellite swarm with the science objective and the ‘smarts’ to get it done.”
What Are Distributed Space Missions?
Distributed space missions rely on interactions between multiple spacecraft to achieve mission goals. Such missions can deliver better data to researchers and ensure continuous availability of critical spacecraft systems.
Typically, spacecraft in swarms are individually commanded and controlled by mission operators on the ground. As the number of spacecraft and the complexity of their tasks increase to meet new constellation mission designs, “hands-on” management of individual spacecraft becomes unfeasible.
Distributing autonomy across a group of interacting spacecraft allows for all spacecraft in a swarm to make decisions and is resistant to individual spacecraft failures.
The DSA team advanced swarm technology through two main efforts: the development of software for small spacecraft that was demonstrated in space during NASA’s Starling mission, which involved four CubeSat satellites operating as a swarm to test autonomous collaboration and operation with minimal human operation, and a scalability study of a simulated spacecraft swarm in a virtual lunar orbit.
Experimenting With DSA in Low Earth Orbit
The team gave Starling a challenging job: a fast-paced study of Earth’s ionosphere – where Earth’s atmosphere meets space – to show the swarm’s ability to collaborate and optimize science observations. The swarm decided what science to do on their own with no pre-programmed science observations from ground operators.
“We did not tell the spacecraft how to do their science,” said Adams. “The DSA team figured out what science Starling did only after the experiment was completed. That has never been done before and it’s very exciting!”
The accomplishments of DSA onboard Starling include the first fully distributed autonomous operation of multiple spacecraft, the first use of space-to-space communications to autonomously share status information between multiple spacecraft, the first demonstration of fully distributed reactive operations onboard multiple spacecraft, the first use of a general-purpose automated reasoning system onboard a spacecraft, and the first use of fully distributed automated planning onboard multiple spacecraft.
During the demonstration, which took place between August 2023 and May 2024, Starling’s swarm of spacecraft received GPS signals that pass through the ionosphere and reveal interesting – often fleeting – features for the swarm to focus on. Because the spacecraft constantly change position relative to each other, the GPS satellites, and the ionospheric environment, they needed to exchange information rapidly to stay on task.
Each Starling satellite analyzed and acted on its best results individually. When new information reached each spacecraft, new observation and action plans were analyzed, continuously enabling the swarm to adapt quickly to changing situations.
“Reaching the project goal of demonstrating the first fully autonomous distributed space mission was made possible by the DSA team’s development of distributed autonomy software that allowed the spacecraft to work together seamlessly,” Adams continued.
Caleb Adams, Distributed Spacecraft Autonomy project manager, monitors testing alongside the test racks containing 100 spacecraft computers at NASA’s Ames Research Center in California’s Silicon Valley. The DSA project develops and demonstrates software to enhance multi-spacecraft mission adaptability, efficiently allocate tasks between spacecraft using ad-hoc networking, and enable human-swarm commanding of distributed space missions. NASA/Brandon Torres Navarrete Scaling Up Swarms in Virtual Lunar Orbit
The DSA ground-based scalability study was a simulation that placed virtual small spacecraft and rack-mounted small spacecraft flight computers in virtual lunar orbit. This simulation was designed to test the swarm’s ability to provide position, navigation, and timing services at the Moon. Similar to what the GPS system does on Earth, this technology could equip missions to the Moon with affordable navigation capabilities, and could one day help pinpoint the location of objects or astronauts on the lunar surface.
The DSA lunar Position, Navigation, and Timing study demonstrated scalability of the swarm in a simulated environment. Over a two-year period, the team ran close to one hundred tests of more complex coordination between multiple spacecraft computers in both low- and high-altitude lunar orbit and showed that a swarm of up to 60 spacecraft is feasible.
The team is further developing DSA’s capabilities to allow mission operators to interact with even larger swarms – hundreds of spacecraft – as a single entity.
Distributed Spacecraft Autonomy’s accomplishments mark a significant milestone in advancing autonomous distributed space systems that will make new types of science and exploration possible.
NASA Ames leads the Distributed Spacecraft Autonomy and Starling projects. NASA’s Game Changing Development program within the agency’s Space Technology Mission Directorate provides funding for the DSA experiment. NASA’s Small Spacecraft Technology program within the Space Technology Mission Directorate funds and manages the Starling mission and the DSA project.
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Last Updated Feb 04, 2025 Related Terms
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By NASA
Explore This Section Mars Home Science Overview Objectives Instruments Highlights Exploration Goals News and Features Multimedia Perseverance Raw Images Images Videos Audio More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions Perseverance Home Mission Overview Rover Components Mars Rock Samples Where is Perseverance? Ingenuity Mars Helicopter Mission Updates 3 min read
Persevering Through Science
NASA’s Mars Perseverance rover acquired this image of its 26th collected rock sample, “Silver Mountain,” using its onboard Sample Caching System Camera (CacheCam), located inside the rover underbelly. It looks down into the top of a sample tube to take close-up pictures of the sampled material and the tube as it’s prepared for sealing and storage. This image was acquired on Jan. 28, 2025 — sol 1401, or Martian day 1,401 of the Mars 2020 mission — at the local mean solar time of 18:49:01. NASA/JPL-Caltech The Mars 2020 Perseverance rover continues to live up to its name, pushing forward in search of ancient Martian secrets. Following a brief period of system verification and remote testing, our operations team is back at full strength, and Perseverance has been hard at work uncovering new geological insights.
We began our latest campaign at “Mill Brook,” a site surrounded by dusty, fine-grained paver stones. Here, we conducted an abrasion experiment at “Steve’s Trail,” allowing our remote sensing instruments to capture a before-and-after analysis of the rock surface. SuperCam (SCAM) used its LIBS and VISIR systems to investigate “Bad Weather Pond,” while Mastcam-Z (ZCAM) imaged the entire workspace. These observations provide invaluable data on the composition, texture, and potential alteration of these rocks.
After wrapping up at Mill Brook — including a ZCAM multispectral scan of “Berry Hill” — Perseverance took a 140-meter drive (about 459 feet) to “Blue Hill” at “Shallow Bay,” a site of immense scientific interest. The rocks here are rich in low-calcium pyroxene (LCP), making them one of the most intriguing sample targets of the mission so far.
The significance of Blue Hill extends beyond just this one location. The pyroxene-rich nature of the site suggests a potential link to a much larger rock unit visible in orbital HiRISE images. Given that this may be the only exposure of these materials within our planned traverse, our science team prioritized sampling this Noachian-aged outcrop, a rare window into Mars’ deep past.
And now, we are thrilled to announce:
Perseverance has successfully cored and sealed a 2.9-centimeter (1.1-inch) rock sample from Blue Hill, officially named “Silver Mountain.” This marks our first Noachian-aged outcrop sample, an important milestone in our mission to uncover the geological history of Jezero Crater. Since Shallow Bay-Shoal Brook is the only location along our planned route where this regional low-calcium pyroxene unit was identified from orbit, this sample is a one-of-a-kind treasure for future Mars Sample Return analyses.
As we enter the Year of the Snake, it seems fitting that serpentine-bearing rocks have slithered into our focus! While Blue Hill remains a top priority, the tactical team has been highly responsive to the science team’s overwhelming interest in the nearby serpentine-bearing outcrops. These rocks, which may reveal critical clues about past water activity and potential habitability, are now part of our exploration strategy.
Between our Noachian-aged pyroxene sample and the newfound focus on serpentine-bearing rocks, our journey through Jezero Crater has never been more exciting. Each step — each scan, each drive, each core sample — brings us closer to understanding Mars’ complex past.
As Perseverance continues to, well, persevere, and as we embrace the Year of the Snake, we can’t help but marvel at the poetic alignment of science and tradition. Here’s to a year of wisdom, resilience, and groundbreaking discoveries — both on Earth and 225 million kilometers (140 million miles) away!
Stay tuned as we unravel the next chapter in Mars exploration!
Written by Nicolas Randazzo, Postdoctoral Scientist at University of Alberta
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Last Updated Feb 04, 2025 Related Terms
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A summer barbecue transformed into a nightmare when lightning split the sky above Somerset, England. Peter Williamson dashed across his rain-soaked lawn to rescue his terrified dog, unaware that his next step would carry him beyond the boundaries of our world.
His family watched in horror as a blinding flash illuminated his silhouette against the stormy sky. When their vision cleared, Peter had evaporated into thin air.
The police launched a search, but found no footprints, no scorch marks, and no explanation for how a man could disappear from a walled garden. Sixteen witnesses swore they watched him vanish in plain sight.
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