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English(EN) MiMo-Embodied: X-Embodied Foundation Model Technical Report

MiMo-Embodied 基础模型在自动驾驶和人工智能领域达到 SOTA

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出 MiMo-Embodied，这是一种新颖的基础模型，旨在同时处理自动驾驶和具身人工智能任务。该模型在任务规划、空间理解、环境感知和驾驶规划等领域的众多基准测试中取得了最先进的性能。MiMo-Embodied 的成功归功于其多阶段学习方法、精心构建的数据和微调技术，在两个领域之间展示了显著的积极迁移。 AI

影响 这个开源模型展示了跨领域迁移学习能力，有望加速机器人和自主系统领域的发展。

排序理由 该集群描述了一份技术报告，详细介绍了一个新发布为开源的基础模型，包括代码和模型。

在 arXiv cs.CV 阅读 →

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MiMo-Embodied 基础模型在自动驾驶和人工智能领域达到 SOTA

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该集群描述了一份技术报告，详细介绍了一个新发布为开源的基础模型，包括代码和模型。
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Xiaoshuai Hao, Lei Zhou, Zhijian Huang, Zhiwen Hou, Yingbo Tang, Lingfeng Zhang, Guang Li, Zheng Lu, Shuhuai Ren, Xianhui Meng, Yuchen Zhang, Jing Wu, Jinghui Lu, Chenxu Dang, Jiayi Guan, Jianhua Wu, Zhiyi Hou, Hanbing Li, Shumeng Xia, Mingliang Zhou, Yin ·

    MiMo-Embodied: X-Embodied 基础模型技术报告

    arXiv:2511.16518v2 Announce Type: replace-cross Abstract: We open-source MiMo-Embodied, the first cross-embodied foundation model to successfully integrate and achieve state-of-the-art performance in both Autonomous Driving and Embodied AI. MiMo-Embodied sets new records across 1…

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