AE researchers have developed new algorithms to help Intuitive Machine’s lunar lander find water ice on the Moon.
In the past five years, five lunar landers have launched into space, marking a series of first successful landings in decades. The future will see more of these type of missions, including NASA’s Artemis program and various private ventures. These missions need reliable and quick navigation abilities to successfully complete missions, especially if ground stations on Earth are overburdened or disconnected.
Georgia Tech’s Space Exploration and Analysis Laboratory (SEAL) has developed new algorithms that are headed to the Moon, as part of the Intuitive Machine’s IM-2 mission. The mission is sending a Nova-C class lunar lander named Athena to the Moon’s south pole region to test technologies and collect data that aim to enable future exploration. The mission is part of NASA’s Commercial Lunar Payload Services (CLPS) initiative.
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