Article

A Review of Foundation Models for Autonomous Space Robotics: Architectures, Physical Adaptation, and Validation

A critical arXiv review systematically examines the architectures, physical adaptation, and validation pathways of foundation models in autonomous space robotics, focusing on orbital manipulation and proximity operations. The article notes that event cameras can provide timely motion observations under strong illumination contrast, that spiking neural networks offer a possible route to sparse local computation, and organizes validation as an iterative "simulation-ground-space" closed loop, using a satellite capture case to connect observation, approach, contact, and recovery. The full text is 23 pages with 7 figures, accompanied by a source list and evidence document.

Part of the event: A Review of Foundation Model Architectures and Validation Pathways for Space Robots

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