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LingBot-VA
ModelLingBot-VA is a World-Action Model (WAM) developed by Robbyant Technology. It uses an autoregressive (AR) diffusion framework for simultaneous world modeling and action inference — architecturally unifying visual dynamics prediction and action inference within a single interleaved sequence while maintaining their conceptual distinction. Features a dual-stream mixture-of-transformers (MoT) architecture with asynchronous execution and KV caching for high-efficiency deployment. Demonstrates strong long-horizon performance, sample efficiency, and generalization to novel scenes. Published under Apache 2.0 license.
Details
Updated:7/7/2026
open sourcetrue
release date2026-01-29
github urlhttps://github.com/robbyant/lingbot-va
paper urlhttps://arxiv.org/abs/2601.21998
model familyWAM (World-Action Model)
huggingface urlhttps://huggingface.co/collections/robbyant/lingbot-va
Tags
WAMworld-modelautoregressivediffusionaction-modelMoTrobot-controlvisual-dynamics
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