SOURCE-LINKED INTELLIGENCE

GPU-Accelerated Astrodynamics World Models for Spacecraft Rendezvous and Proximity Operations

arXiv · AI, language, vision and robotics · article · Sep 2, 2026 · UTC

World models are an emerging paradigm in representation learning in which an agent jointly learns state-action dynamics and observation models from offline trajectory data, enabling multi-step planning and trajectory prediction with uncertainty estimates. They have shown strong results in robotics and game environments, but, to the best of our knowledge, have not previously been applied to the space domain. This paper introduces a world model-based approach to cooperative and non-cooperative spacecraft rendezvous and proximity operations. First, we introduce an open-source, JAX-based Internati

Read original source ↗ Open in workspace

recordType

paper

region

Global