English(EN)ABot-M0.5: Unified Mobility-and-Manipulation World Action Model
机器人研究在动作和场景生成方面推进世界模型 · 跟踪7个来源
作者PulseAugur 编辑部·[7 个来源]·
一篇新的教程论文阐述了机器人学中“世界模型”的范围，将其分为观测空间和状态空间两类，并引入了将预测与机器人动作联系起来的“世界动作模型”。同时，一篇研究论文介绍了一种新颖的移动操作世界动作模型ABot-M0.5，该模型采用Transformer混合架构和梦境强制训练策略，取得了最先进的性能。另一个项目Micro-World提供了一个动作控制的交互式世界模型，用于生成开放域场景，并发布了模型权重和代码以促进社区研究。
AI
arXiv:2607.00836v1 Announce Type: cross Abstract: World models are increasingly used in embodied intelligence and generative simulation, yet their scope remains ambiguous across communities. This tutorial presents a design-space view of world models as action-conditioned predicti…
World models are increasingly used in embodied intelligence and generative simulation, yet their scope remains ambiguous across communities. This tutorial presents a design-space view of world models as action-conditioned predictive models that estimate the future evolution of ta…
ABot-M0.5 is a World Action Model for mobile manipulation that improves performance through temporal granularity alignment, action space disentanglement, and train-test consistency in autoregressive prediction.
arXiv:2607.00678v1 Announce Type: new Abstract: Mobile manipulation is a key capability for general-purpose robots, yet remains challenging for current embodied learning methods. VLA policies are typically reactive and lack explicit world modeling, while existing World Action Mod…
Mobile manipulation is a key capability for general-purpose robots, yet remains challenging for current embodied learning methods. VLA policies are typically reactive and lack explicit world modeling, while existing World Action Models (WAMs) are still poorly aligned with the str…
