Exciting new paper published in Acta Astronautica!
12/16/2025Our paper titled "Artificial intelligence-powered space systems including launch, space, ground and user segments: Current status and future challenges" will be published in Acta Astronautica, Volume 240, March 2026, Pages 328-347.
The integration of artificial intelligence (AI) technologies across all segments of space systems, including the launch, space, ground, and user segments, holds immense potential to revolutionize space exploration, satellite operations, and communication networks. This paper presents a comprehensive overview of AI-powered systems in each segment, highlighting their key functionalities, benefits, and challenges. In the launch segment, AI algorithms can optimize launch vehicle trajectories, predict launch conditions, and facilitate the safety of space missions. Machine learning techniques can enable real-time decision-making and autonomous control during launch operations, improving launch success rates and reducing costs. Within space segment, AI-powered satellites can have enhanced capabilities in autonomous navigation, attitude control, and mission planning. These systems leverage AI algorithms to analyze sensor data, detect anomalies, and autonomously adapt to dynamic space environments, increasing mission resilience and flexibility. In the ground segment, AI-powered systems can facilitate satellite operations, data processing, and communication management. Intelligent ground stations utilize machine learning algorithms to optimize antenna pointing, schedule satellite contacts, and process large volumes of satellite data efficiently, enabling faster and more reliable communication services. Finally, in the user segment, AI technologies can enhance the user experience and enable innovative applications in space science, earth observation, and satellite-based services. AI-powered data analytics platforms can provide users with actionable insights from satellite imagery, sensor data, and telemetry, enabling informed decision-making and driving advancements in various domains. Despite the significant benefits offered by AI-powered systems across all segments, challenges such as data quality, algorithm robustness, and ethical considerations remain critical areas for further research and development. Addressing these challenges will be essential to fully harnessing the potential of AI in advancing space exploration, satellite operations, and space-based applications. Through research findings, and technological advancements, this paper aims to provide insights into the current state-of-the-art and future prospects of AI-powered systems in space, paving the way for continued innovation in space exploration.




