AstroForge is putting AI in command of its next spacecraft


Fly to an asteroid, land on it, make no mistakes: If only it were that easy. When NASA sends spacecraft to explore the solar system, they build in redundancy and automation. But much of the work is done by teams of flight controllers communicating with the vehicle from Earth. The Osiris-Rex mission, which rendezvoused with an asteroid in 2018, had 100 operators on each eight-hour shift. But resources like that aren’t available to startups, so AstroForge, which is developing technology to mine asteroids, is turning to AI. The company has developed an autonomous control stack for its spacecraft called “Solo,” a transformer-based model made in-house. AstroForge plans to fly its first autonomous spacecraft in 2027 on the first rocket launched by Stock Space. That mission will be backed by NASA and is expected to gather scientific data about the Sun. That would be an accomplishment: Most spacecraft autonomy depends on traditional control algorithms due to concerns about the unreliability of neural networks. The first use of a neural network to control a satellite’s positioning in orbit took place just last year. AstroForge, founded in 2022 and backed with $56 million in venture funding, has launched two prototype spacecraft, both of which suffered anomalies that prevented them from achieving most of their mission objectives. In 2025, its Odin spacecraft was launched into deep space, but the company had difficulty communicating with it. There are a limited number of antennas on Earth big enough to transmit to spacecraft hundreds of thousands of miles away, and the windows of time in which to do it are small. Ultimately, AstroForge couldn’t gain control of Odin, but the experience spurred it to consider alternatives: Could it put sufficient intelligence onboard the spacecraft for it to solve its own problems? “Would that have been recoverable with all the data on the spacecraft? I don’t know, but I can tell you nothing onboard tried it, and I would love something onboard to try if the spacecraft is unrecoverable at launch,” Matthew Gialich, AstroForge’s co-founder and CEO, said. ” Armand Awad, AstroForge’s head of flight software, said the company decided to leverage the advances in transformer models driven by the frontier labs. It created a stack that includes traditional control algorithms, models trained on test data for specific subsystems like power generation or navigation, and an overall intelligence layer trained on about 2,500 sensors in the spacecraft. “I’m not saying I’m going to make general spacecraft autonomy or general autonomy for the world,” Gialich said. ” In theory, the agent in control of the spacecraft will perform tasks like anomaly resolution. ” The company’s third vehicle, DeepSpace-2, is currently set to launch alongside Intuitive Machines’ third moon mission, expected to head for space by the end of 2026. Solo will be onboard that vehicle, flying in “shadow mode,” so AstroForge’s engineers can put it through its paces before the Autonomy-1 mission. “I don’t plan on flying radios that can receive from Earth on Autonomy-1,” Gialich said. “We have to go all in right now. The team’s probably going to talk me into it by the time we fly it. ” When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

Available only for MIT Technology Review subscribers. The US has spent billions building a “virtual wall” of surveillance towers along its southern border over the past 25 years, promising they will help detect and apprehend border crossers and save lives. But a groundbreaking investigation by MIT Technology Review has documented hundreds of people who moved through areas watched by these towers without being reached or apprehended, and who ultimately died there. Some were even under the watch of newly installed AI-powered towers designed to spot people automatically. Our findings reveal a humanitarian crisis more visible than previously known, and repeated failures of the virtual wall’s basic security promise. Join editor in chief Mat Honan for a conversation with senior AI reporter James O'Donnell and senior reporter for features and investigations Eileen Guo, examining the failures of border surveillance technology and uncovering the stories of the people who die in the borderlands. Deep DiveStay connectedIllustration by Rose WongGet the latest updates fromMIT Technology ReviewDiscover special offers, top stories, upcoming events, and more.
Discussion (0)