AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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GWM-VLA is proposed, a geometry-aware latent world modeling framework for VLA learning that combines geometry-aware multi-view state encoding, global context-conditioned target-view prediction, and shared latent-action representations grounded by robot-action supervision.
TS-Mask VLA is built upon two key designs: a Discrete Diffusion Action Expert equipped with a Bridge Attention conditioning bridge, which enables multi-layer conditioning from the VLM and facilitates more accurate and stable action generation; and a temporal-spatial 2D masking strategy for discrete action tokens that s...
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