GPU 加速的天体动力学世界模型：航天器交会与临近操作
Original title: GPU-Accelerated Astrodynamics World Models for Spacecraft Rendezvous and Proximity Operations
ResearchAI 65
Source: arXiv cs.ROPublish time unverified
arXiv:2609.03067v1 Announce Type: new Abstract: 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.