AgiBot Releases Embodied Agent Framework Genie Master, Enabling Robots to Evolve While Working in Real Convenience Stores
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AgiBot has released its embodied Agent framework Genie Master. The Genie G2 equipped with this framework, while working in a real convenience store, does not rely on human demonstration or debugging; it independently identifies the causes of failures, adjusts strategies, and accumulates experience, continuously improving on multiple complex and delicate tasks and achieving continuous self-evolution with no human in the loop. The original article states that this is the industry's first validation of Physical RSI (embodied recursive self-evolution) outside of simulation environments and in real business scenarios. Yesterday, AgiBot also released the safety-certified heavy-duty embodied robot Genie G2 Max, targeting industrial scenarios such as depalletizing and palletizing, material transfer, and production line feeding.
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The original article details AgiBot's specific approach to validating embodied recursive self-improvement in real convenience store scenarios, allowing readers to understand the robot's path to self-improvement after breaking away from human demonstration.
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智元发布具身Agent框架Genie Master：机器人能边工作边进化IT之家下载客户端 独家抢先看2026年10月27日 14:47:39 来自山东Updated 2026年10月27日 14:51:49
IT之家 10 月 27 日消息，今日智元正式发布具身 Agent 框架 Genie Master，让机器人在上岗的过程中边解锁新技能。自动播放
据悉，搭载该框架的精灵 G2，在真实便利店上岗期间，不依赖人工示范与调试，自己定位失败原因、调整策略、沉淀经验，做到了在多个复杂精细任务上持续改进，实现“无人在环”的持续自我进化。这是行业首次跳出仿真环境、走出实验室，首次在真实业务场景中验证 Physical RSI（具身递归自进化）。
IT之家注意到，智元昨日发布了安规级重载具身机器人精灵 G2 Max，面向拆码垛、物料转运及产线供料等工业场景。
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