New AI Navigation Prevents Crashes in Space
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New AI navigation prevents crashes in space:
What do you call a broken satellite? Today, it's a multimillion-dollar piece of dangerous space junk.
But a new collision-avoidance system developed by students at the University of Cincinnati [UC] is getting engineers closer to developing robots that can fix broken satellites or spacecraft in orbit.
UC College of Engineering and Applied Science doctoral students Daegyun Choi and Anirudh Chhabra presented their project at the Science and Technology Forum and Exposition in January in San Diego, California. Hosted by the American Institute of Aeronautics and Astronautics, it's the world's largest aerospace engineering conference.
"We have to provide a reliable collision-avoidance algorithm that operates in real time for autonomous systems to perform a mission safely. So we proposed a new collision-avoidance system using explainable artificial intelligence," Choi said.
He has been working on similar projects at UC for the past two years, publishing three articles in peer-reviewed journals based on Choi's novel algorithms.
UC researchers tested their system in simulations, first by deploying robots in a two-dimensional space. Their chosen digital battlefield? A virtual supermarket where multiple autonomous robots must safely navigate aisles to help shoppers and employees.
"This scenario presents many of the same obstacles and surprises that an autonomous car sees on the road," study co-author and UC assistant professor Donghoon Kim said.
[...] "Emerging AI is physics-informed rather than relying solely on data," Kim said. "If we know the physical behavior, we can use that as well as the data so we can get more meaningful information and a reliable AI model."
Journal Reference:
Daegyun Choi, Anirudh Chhabra, and Donghoon Kim. Collision Avoidance of Unmanned Aerial Vehicles Using Fuzzy Inference System-Aided Enhanced Potential Field, (DOI: 10.2514/6.2022-0272)
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