Smart Automation Techniques for Enhancing the Efficiency of Space Exploration Missions

Abstract

Smart automation enables a range of various space exploration missions; this paper aims to review how smart automation improves efficiency when used in space exploration. Measuring the impact of enhance state of arts like artificial intelligence (AI), machine learning (ML), robotics, edge computing, and the autonomy system, the study explores the potential of cutting cost, enhancing operational efficiency, improving system reliability, and achieving high-level mission autonomy. By reviewing each element of the AI and ML technology’s application, it is shown that the integration improves the resource allocation process and reduces the human interference needed to complete the missions, thus cutting down the expenditures. Robotics and the use of an anticipatory maintenance system improve system dependability by preventing failure where possible. Furthermore, edge computing and autonomous navigation enhance the amount of interaction within specific locations and aspects as well as the real-time decision-making. The outcomes underscore the possibility of these technologies to change the way, space missions are conducted by enhancing their effectiveness, reliability and perhaps most critically self-sufficiency and opening the door for other revolutions in the field of space expedition.