Intelligent Autonomous Control and Decision-Making for Spacecraft

Dear Colleagues,

In recent years, the growing complexity and diversity of space missions have posed significant challenges to the safety, robustness, and efficiency of spacecraft operations.  Traditional ground-in-the-loop control paradigms are struggling to meet the demands for real-time responsiveness and adaptability in unpredictable and dynamic space environments. Consequently, it is imperative to develop advanced capabilities in intelligent perception, autonomous decision-making, and adaptive control, enabling spacecraft to operate with high precision and resilience. The integration of computational intelligence techniques, such as machine learning, deep reinforcement learning, evolutionary computation, and data-driven modeling, into spacecraft guidance, navigation, and control (GNC) systems has emerged as a critical research area.

The purpose of this Special Issue is to provide a premier international platform for scientists, engineers, and researchers to present their latest theoretical findings, innovative algorithms, and practical applications in the field of intelligent autonomous systems for spacecraft. We seek contributions that address key areas, including but not limited to intelligent perception, pose estimation, intention recognition for non-cooperative targets, autonomous mission, trajectory planning, multi-agent orbital game theory, and advanced adaptive attitude and orbit control strategies. Papers presenting newly emerging fields and applications are especially welcome.

Prof. Dr. Jianbin Qiu
Prof. Dr. Chanying Li
Prof. Dr. Jose de Jesus Rubio
Prof. Dr. Wenqiang Ji
Guest Editors

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