Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

A Vision-Language-Action foundation model for robotic manipulation achieves generalization through unified alignment across representation, motion, and behavior dimensions, enablin…

Hugging Face · Daily Papers ·Haoqi Yuan, Zhixuan Liang · ·▲ 3 upvotes

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

Autores: Haoqi Yuan, Zhixuan Liang, Anzhe Chen, Ye Wang, Haoyang Li, Pei Lin

  • 3 upvotes da comunidade
  • Temas: Vision-Language-Action foundation model, unified alignment framework, representation dimension, motion dimension, behavior dimension, large-scale multi-source training

Resumo

Resumo original (em inglês), extraído do paper:

A Vision-Language-Action foundation model for robotic manipulation achieves generalization through unified alignment across representation, motion, and behavior dimensions, enabling large-scale training on diverse data sources.

Onde ler

compartilhar: