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English(EN) Late Breaking Results: Audio-Language-Action Models with Direct Speech Conditioning for Robotic Manipulation

新模型将语音直接映射到机器人动作,缩短延迟

研究人员开发了Speech-$\pi_{0.5}$,这是一种新颖的音频-语言-动作模型,可将原始语音直接映射到机器人电机指令,无需显式文本转录。与使用自动语音识别管道的传统方法相比,这种方法将响应延迟显著降低了约三倍。该模型基于$\pi_{0.5}$构建,并采用拆分LoRA适配分两个阶段进行训练,在LIBERO基准测试中展示了具有竞争力的任务成功率,并对未见的口音表现出强大的泛化能力。 AI

影响 这项发展通过降低延迟和改善自然语言交互,有可能加速语音控制机器人技术的普及。

排序理由 该条目描述了一篇关于机器人操作新模型的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新模型将语音直接映射到机器人动作,缩短延迟

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该条目描述了一篇关于机器人操作新模型的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Enfu Nan, Pu Zhao, Yixiao Chen, Lin Zhao, Juyi Lin, Chen Wang, Weiwei Chen, Yanzhi Wang ·

    最新突破:具有直接语音条件约束的音频-语言-动作模型用于机器人操控

    arXiv:2610.33866v1 Announce Type: new Abstract: Vision-language-action (VLA) models enable robots to follow instructions in typed text, limiting broader deployment in natural speech. The traditional solution by prepending a speech recognition before VLA to convert speech into tex…