A new AI model replaces months of simulation with near-instant predictions, changing how spacecraft operations are prepared
Updated
April 24, 2026 10:53 AM
Northrop Grumman Stargaze serves as the mother ship for the Pegasus, an air-launched orbital rocket. PHOTO: UNSPLASH
Flexcompute, a startup that builds software to simulate real-world physics, is working with Northrop Grumman to change how space missions are prepared. Together, they have developed an AI-based system that can predict how spacecraft respond during critical manoeuvres such as docking—when one spacecraft moves in and connects with another in orbit. These steps have traditionally taken months of preparation.
At the centre of this work is a long-standing problem in space operations. When a spacecraft fires its thrusters, the exhaust plume interacts with nearby surfaces. These interactions can affect movement, temperature and stability. Because these effects are difficult to test in real conditions, engineers have relied on large volumes of computer simulations to estimate outcomes before a mission. That process is slow and resource-intensive.
The new system replaces much of that workflow with a trained AI model. Instead of running millions of simulations, the model learns patterns from physics-based data and can make predictions in seconds. It also provides a measure of uncertainty, which helps engineers understand how reliable those predictions are when making decisions.
"At Northrop Grumman, we're pioneering physics AI to accelerate design and solve complex simulation and modelling problems like plume impingement—critical for station keeping, rendezvous and space robotics. Simply put: we're pushing the boundaries of advanced space operations", said Fahad Khan, Director of AI Foundations at Northrop Grumman. "Partnering with Flexcompute and NVIDIA, we're accelerating innovation and mission timelines to deliver superior space capabilities for customers at the speed they need".
The system is built using technology from NVIDIA, which provides the computing framework behind the model. Flexcompute has adapted it to handle the specific challenges of spaceflight, including how gases expand and interact in a vacuum. The result is a tool that can simulate complex scenarios much faster while maintaining the level of accuracy needed for mission planning.
By shortening preparation time, the model changes how engineers approach spacecraft design and operations. Faster predictions mean teams can test more scenarios and adjust plans more quickly. It also helps improve fuel use and extend the lifespan of spacecraft.
"Northrop Grumman's confidence reflects what sets Flexcompute apart", said Vera Yang, President and Co-Founder of Flexcompute. "We are able to take the most accurate and scalable physics foundations and evolve them into highly trained, customized Physics AI solutions that engineers can rely on. This work shows how we are transforming the role of simulation, not just speeding it up, but expanding what engineers can confidently solve and how quickly they can act".
The collaboration points to a broader shift in how engineering problems are being handled. Instead of relying only on detailed simulations that take time to run, companies are beginning to use AI systems that can approximate those results quickly while still reflecting the underlying physics.
"The industry's most ambitious space missions now demand a level of speed and precision that traditional engineering cycles can no longer sustain", said Tim Costa, vice president and general manager of computational engineering at NVIDIA. "By integrating NVIDIA PhysicsNeMo, Northrop Grumman and Flexcompute are transforming complex simulations like plume impingement from days of compute into seconds of insight, drastically accelerating the path from mission concept to orbit".
What emerges from this work is a shift in how missions are prepared. When prediction cycles move from months to seconds, testing and decision-making can happen faster. For space operations, where timing and precision are closely linked, that change could reshape how systems are built and run.
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CES 2026 and the move toward wearable robots you don’t wear all day.
Updated
January 28, 2026 5:53 PM
The π6 exoskeleton from VIGX. PHOTO: VIGX
CES 2026 highlighted how robotics is taking many different forms. VIGX, a wearable robotics company, used the event to introduce the π6, a portable exoskeleton robot designed to be carried and worn only when needed. Unveiled in Las Vegas, the device reflects a broader shift at CES toward robotics that move with people rather than staying fixed in industrial or clinical settings.
Exoskeletons have existed for years, most commonly in controlled environments such as factories, rehabilitation facilities and specialised research settings. In these contexts, they have tended to be large, fixed systems intended for long sessions of supervised use rather than something a person could deploy on their own.
Against that backdrop, the π6 explores a more personal and flexible approach to assistance. Instead of treating an exoskeleton as permanent equipment, it is designed to be something users carry with them and wear only when a task or situation calls for extra support.
The π6 weighs 1.9 kilograms and folds down to a size that fits into a bag. When worn, it sits around the waist and legs, providing mechanical assistance during activities such as walking, climbing or extended movement. Rather than altering how people move, the system adds controlled rotational force at key joints to reduce physical strain over time.
According to the company, the device delivers up to 800 watts of peak power and 16 Nm of rotational force. In practical terms, this means the system is designed to help users sustain effort for longer periods, especially during physically demanding activities_ by easing the body's load rather than pushing it beyond normal limits.
The π6 is designed to support users weighing between 45 kilograms and 120 kilograms and is intended for intermittent use. This reinforces its role as a wearable companion — something taken out when needed and set aside when not — rather than a device meant to be worn continuously.
Another aspect of the system is how it responds to different environments. Using onboard sensors and processing, the exoskeleton can detect changes such as slopes or uneven ground and adjust the level of assistance accordingly. This reduces the need for manual adjustments and helps maintain a consistent walking experience across varied terrain, with software fine-tuning how assistance is applied rather than directing movement itself.
The hardware design follows a similar logic. The power belt contains a detachable battery, allowing users to remove or swap it without handling the entire system. This keeps the wearable components lighter and makes the exoskeleton easier to transport. The battery can also be used as a general power source for small electronic devices, adding a layer of practicality beyond the exoskeleton’s core function.
VIGX frames its work around accessibility rather than industrial automation. “To empower ordinary people,” said founder Bob Yu, explaining why the company chose to focus on exoskeleton robotics. “VIGX is dedicated to expanding the physical limits of humans, enabling deeper outdoor adventures, making running and cycling easier and more enjoyable and allowing people to sustain their outdoor pursuits regardless of age.”
Placed within the wider context of CES, the π6 sits alongside a growing number of portable robots and wearable systems that prioritise convenience, mobility and personal use. By reducing the physical and practical barriers to wearing an exoskeleton, VIGX is testing whether assistive robotics can move beyond niche environments and into everyday life. If that experiment succeeds, wearable robots may become less about dramatic augmentation and more about quiet support — present when needed and easy to put away when not.