Intelligent Space-Debris Management: Autonomous Technologies for Safer and More Sustainable Orbital Environments

Hugh G. Lewis

Intelligent Space-Debris Management: Autonomous Technologies for Safer and More Sustainable Orbital Environments

Author(s)	Hugh G. Lewis
Country	United States
Abstract	The rapid expansion of satellite-based communication, navigation, Earth observation, weather forecasting, scientific research, and defense services has increased human dependence on near-Earth orbital environments. This expansion has also intensified the accumulation of defunct satellites, abandoned rocket bodies, mission-related objects, and collision-generated fragments. These objects create significant operational risks because even small fragments can damage functioning spacecraft when encounters occur at high relative velocities. Traditional space-debris management has relied largely on ground-based surveillance, manually evaluated conjunction warnings, passive disposal requirements, and operator-initiated collision-avoidance maneuvers. Although these practices remain essential, their effectiveness may be constrained by growing orbital congestion, uncertain tracking data, fragmented information systems, and increasing decision workloads. This paper examines how artificial intelligence, autonomous sensing, onboard decision systems, robotic servicing, and intelligent mission planning can support safer and more sustainable orbital environments. A conceptual and simulation-based research design is adopted because the study does not use proprietary spacecraft records, completed debris-removal mission data, or experimentally collected observations. Relevant literature concerning orbital-debris modeling, space situational awareness, collision prediction, autonomous spacecraft, robotic capture, and international sustainability governance is synthesized to develop an integrated management framework. A transparent illustrative scenario compares three strategies: monitoring only, autonomous collision avoidance, and integrated avoidance with prioritized debris removal. The results suggest that enhanced monitoring improves knowledge but cannot independently reduce accumulated environmental risk. Autonomous avoidance can stabilize immediate operational exposure, while an integrated strategy combining prevention, tracking, avoidance, removal, and institutional coordination offers the strongest long-term potential. The paper identifies important limitations involving orbital uncertainty, model validation, non-cooperative targets, cybersecurity, legal ownership, liability, dual-use concerns, and unequal access to tracking resources. It concludes that intelligent space-debris management should be developed as a layered and accountable orbital-safety architecture rather than as a collection of isolated technologies. Sustainable implementation requires explainable artificial intelligence, bounded autonomy, interoperable information systems, independently verifiable missions, and internationally accepted rules governing proximity operations and debris removal.
Keywords	space debris, orbital sustainability, artificial intelligence, autonomous spacecraft, collision avoidance, active debris removal, space situational awareness, robotic servicing.
Field	Engineering
Published In	Volume 8, Issue 4, July-August 2026
Published On	2026-07-19

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American Journal of Advanced Multidisciplinary Research and Innovation

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Intelligent Space-Debris Management: Autonomous Technologies for Safer and More Sustainable Orbital Environments

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