From Foundation to Application: Improving VLA Models in Practice
LingBot-VLA 2.0 enhances generalization across tasks and embodiments through expanded data preprocessing and training on diverse robot configurations, extends action space to inclu…
Hugging Face · Daily Papers
·Wei Wu, Fangjing Wang
·
·▲ 12 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Wei Wu, Fangjing Wang, Fan Lu, He Sun, Shi Liu, Yunnan Wang
- 12 upvotes da comunidade
- Temas: VLA foundation models, data processing pipeline, robot trajectories, egocentric human videos, action space, degrees of freedom
Resumo
Resumo original (em inglês), extraído do paper:
LingBot-VLA 2.0 enhances generalization across tasks and embodiments through expanded data preprocessing and training on diverse robot configurations, extends action space to include whole-body degrees of freedom for complex manipulation tasks, and incorporates predictive dynamics modeling using video representation and depth estimation for improved temporal reasoning.Onde ler
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