InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization

InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization

InternVLA-A1.5 integrates pretrained vision-language models with future prediction in latent space to enable efficient robot manipulation with preserved semantics and long-horizon…

Hugging Face · Daily Papers ·Haoxiang Ma, Junhao Cai · ·▲ 15 upvotes

Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.

Autores: Haoxiang Ma, Junhao Cai, Xiaoxu Xu, Hao Li, Yuyin Yang, Yang Tian

  • 15 upvotes da comunidade
  • Temas: VLM backbone, future prediction, latent-querying problem, foresight tokens, pretrained video generation model, world-model dynamics priors

Resumo

Resumo original (em inglês), extraído do paper:

InternVLA-A1.5 integrates pretrained vision-language models with future prediction in latent space to enable efficient robot manipulation with preserved semantics and long-horizon execution.

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