English(EN) Phone2Act: A Low-Cost, Hardware-Agnostic Teleoperation System for Scalable VLA Data Collection

Phone2Act 系统使用智能手机控制机器人以收集 AI 数据

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-06 04:00

研究人员开发了 Phone2Act，一个新颖的远程操作系统，通过 Google ARCore 将标准智能手机用作 6-DoF 机器人控制器。这个低成本、硬件无关的框架旨在简化和扩展用于训练 Vision-Language-Action (VLA) 模型的操纵数据的收集。通过解耦控制逻辑并支持各种机器人平台，Phone2Act 使研究人员能够更经济地收集多样化的数据集，用于即时微调 GR00T-N1.5 等模型。 AI

影响该系统可以显著降低 VLA 模型数据收集的成本并扩大其规模，从而可能加速其开发和部署。

排序理由这是一篇关于用于 AI 模型数据收集的新系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Om Mandhane, Bipin Yadav, Sangeetha Prasanna Ram, Gopalakrishnan Narayanan · 2026-05-06 04:00

Phone2Act：一种低成本、硬件无关的远程操作系统，用于可扩展的VLA数据收集

arXiv:2605.01948v1 Announce Type: cross Abstract: Collecting diverse, high-quality manipulation data for Vision-Language-Action (VLA) model training remains prohibitively expensive for many research groups, as existing teleoperation frameworks rely on specialized hardware or are …

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Phone2Act：一种低成本、硬件无关的远程操作系统，用于可扩展的VLA数据收集

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