Artifical Intelligence: New Paradigm in Deep Space Exploration
Aya Al-Chikh Omar, Mena Maurice Farag, Razan Alhamad
Abstract
The unravelling mystery of deep space has led to the large investments made by several countries to employ various exploration schemes and strategies. Major organizations such as The National Aeronautics and Space Administration agency (NASA) have emphasized on the success rate of space exploration through the continuous development of space exploration activities, which in hand provides the full understanding of the solar system physical behavior to ensure Earth's sustainability. The employment of Artificial Intelligence techniques have had a crucial role to improve the ambiguous deep space exploration and to set strategies by 2030 for the possible exploration of Martian surfaces. In this review, a discussion based on two Artificial intelligence applications in deep exploration will be discussed - Hyperspectral Imagery systems & Robot systems in Space. Furthermore, Hyperspectral Imagery algorithm discusses the analysis of space image capture and analysis through various algorithms such as HERD and LEOPARD that are discussed in this review. Moreover, Autonomous robotic systems are also discussed in this review and its contribution to various deep space activities that contribute to efficient exploration. Finally, present challenges for employment of practical AI based deep space algorithms are discussed along with proposed solutions to ensure longevity in the future of deep space exploration.