English(EN) AgiBot Unveils GE-Act 2.0 Native World-Action Model With 100x Data Scaling

AgiBot 发布 GE-Act 2.0 世界动作模型，数据扩展能力增强

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-10 04:58

AgiBot 推出了 GE-Act 2.0，这是一款专为具身 AI 设计的新型世界动作模型。该模型从头开始，在海量的具身数据上进行了训练，数据量扩展至 30,000 小时。增加的训练数据使 GE-Act 2.0 具备了零样本（zero-shot）能力，例如在不同的机器人平台上执行折叠毛巾等任务。 AI

影响通过扩展训练数据，增强了具身 AI 的能力，使其能够在机器人平台上执行零样本任务。

排序理由 Frontier-lab 模型发布，附带系统卡。[lever_c 降级自 frontier_release: ic=1 ai=1.0]

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Signal score: 44 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; Frontier-lab 模型发布，附带系统卡。[lever_c 降级自 frontier_release: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

Pandaily TIER_1 English(EN) · [email protected] (Pandaily) · 2026-09-10 04:58

AgiBot 发布 GE-Act 2.0 原生世界动作模型，数据扩展能力达 100 倍

AgiBot released GE-Act 2.0, a native world-action model pretrained from random initialization on embodied data. Scaling from 300 to 30,000 hours unlocked zero-shot skills such as towel folding across two robot embodiments.

本文如何被排名

报道来源 [1]

AgiBot 发布 GE-Act 2.0 原生世界动作模型，数据扩展能力达 100 倍

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