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English(EN) SmolWAM: A Latent World-Action Model for Robotic Manipulation on Edge Devices

SmolWAM:用于边缘设备的机器人操作高效模型

研究人员开发了SmolWAM,这是一种专为边缘设备机器人操作设计的新型潜在世界-动作模型。该模型通过保留其核心组件并优化其推理接口以提高效率,从而衍生自更大的Cosmos Policy。与前代模型相比,SmolWAM实现了显著更快的执行速度,并需要更少的计算资源,从而能够实现具有场景运动预测能力的实时机器人控制。 AI

影响 在资源受限的边缘设备上实现更复杂的机器人控制,可能加速AI在机器人领域的应用。

排序理由 详细介绍新模型架构及其性能的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

SmolWAM:用于边缘设备的机器人操作高效模型

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详细介绍新模型架构及其性能的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Timi Owolabi, Hikmah Olawore, Frances Adelakun, Ayotomiwa Oyewumi ·

    SmolWAM:边缘设备上的机器人操作的潜在世界-动作模型

    arXiv:2610.13740v1 Announce Type: cross Abstract: World-action models (WAMs) predict a robot's actions together with the observations those actions will produce. However, the strongest models rely on video diffusion transformers that are far too computationally expensive for reso…