AGIBOT Releases GO-3 Preview Embodied Foundation Model, Tops Three Major Benchmarks
智元机器人发布GO-3 Preview模型，登顶三大具身智能评测榜单
AGIBOT recently released GO-3 Preview, an embodied foundation model built on its self-developed WRAM architecture. The model supports full-lifecycle learning spanning pre-training, post-training, and post-deployment phases. It has achieved first place in three major embodied intelligence benchmarks: RoboDojo, RoboTwin, and RoboColiseum. AGIBOT plans to fully open-source the model by the end of 2026.
Source: Robotics — Chinese web discovery · Read original article ↗
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人类第一人称视频提供了丰富的物体交互与任务执行示例，而机器人轨迹数据则建立了观察、动作与其物理结果之间的联系。
Open source S18
智元机器人（AGIBOT）近日发布了新一代具身基础模型GO-3 Preview，该模型支持跨越预训练、后训练及部署后学习全生命周期的大规模学习。
Open source S2
该模型已在三大主要具身智能评测基准——RoboDojo、RoboTwin和RoboColiseum中取得第一名，并计划于2026年底前完全开源。
Open source S3
Source：Robotics — Chinese web discovery · msn.cn