Artificial Intelligence in Space Applications
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: closed (15 July 2025) | Viewed by 546
Special Issue Editor
Interests: reconfigurable computing; embedded high-performance computing; reconfigurable architectures for deep learning; computer arithmetic
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) has become a game changer in various fields, and its utilization for space applications is no exception. There are several keyways AI is being used in space applications, such as autonomous spacecraft and rovers, satellite imaging and data analysis, space debris management (where AI is used to track and predict the movement of space debris), mission planning and optimization, improvement of communications between the spacecraft and Earth, astronomical research by processing vast amounts of data from telescopes and observatories, helping space robotics to move and take decisions, autonomous space exploration, and astronaut support by providing real-time assistance.
As AI continues to evolve, we can expect its role in space applications to expand significantly, contributing to more efficient, cost-effective, and safer operations. This is an exciting frontier with immense potential for advancing both space exploration and the technology used to support it.
This issue addresses the research and development of artificial intelligence solutions for space applications. The goal is to bring artificial intelligence and information-processing research communities together to boost this complex field with new developments and research works. Topics of interest include:
Autonomous Spacecraft Navigation;
AI in Space-Based Astronomy;
Space Robotics and AI-Powered Rovers;
AI and Space Debris Monitoring;
AI for Deep Space Exploration;
AI in Satellite Data Analysis;
AI and Predictive Maintenance for Spacecraft;
AI in Space-Based Communication Systems;
AI-Assisted Astronaut Health Monitoring and Support;
AI for Space Weather Prediction;
AI-Driven Mission Design and Optimization;
AI for Deep Learning in Space Science;
AI for Space Security and Cybersecurity.
Prof. Dr. Mário Véstias
Guest Editor
Manuscript Submission Information
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Keywords
- space robotics
- space monitoring
- deep learning (DL)
- autonomous navigation
- satellite imaging
- Earth observation
- edge computing in space
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