Zhiyuan launches 24-hour convenience store challenge livestream with 6 Jingling G2 robots

Nov 2

1. 22:44

   Leikeji

   Six AgiBot Genie G2 robots enter a Shanghai convenience store, taking on a 24-hour real-world work challenge

   On November 2, six AgiBot Genie G2 humanoid robots entered an operating convenience store in Xuhui, Shanghai, working continuously for 24 hours as greeters, baristas, stock clerks, and cleaners, under live online supervision from viewers across the internet. The six robots were centrally coordinated by the embodied Agent framework Genie Master, connecting task judgment, action execution, and result feedback through the Embodied Execution Protocol (EEP), and storing both successful and failed task trajectories in long-term memory to feed back into action policy optimization. This was the final real-world test following the release of AgiBot's AI WAVE series of technologies.

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2. 22:44

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3. 22:23

   Shanghai Observer

   Six AgiBot Genie G2 Humanoid Robots Work 24-Hour Shifts at a Shanghai Convenience Store

   Starting at 10:00 on November 2, six AgiBot Genie G2 humanoid robots clocked in at a 24-hour convenience store in Xuhui, Shanghai, taking on roles including greeter, barista, stocker, cashier, and cleaner. They worked continuously for a full day, with the whole process livestreamed for viewers across the internet. On-site experience officers set up challenges such as handing over the wrong-sugar cola, disarranging shelves, and human roadblocks, and the robots responded through voice recognition, visual inventory checks, and path replanning. The six robots share AgiBot's embodied Agent framework Genie Master as their scheduling and learning hub; each day they summarize successful and failed trajectories and store them in long-term memory, converting effective adjustments into training data.

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4. 22:00

   Shanghai Observer

   AgiBot's 6 Genie G2 Robots Work 24-Hour Live-Streamed Shifts at a Convenience Store

   AgiBot launched a 24-hour livestream at an operating convenience store in Xuhui District, where 6 Genie G2 robots took on tasks including greeting customers, making coffee, serving prepared food, picking and restocking goods, and cleaning tables, working in 4 shifts under real-time supervision by the entire internet. As of 2:30 p.m. yesterday, the 6 robots had been on duty for 4.5 hours and completed a total of 337 tasks, including greeting customers 116 times, delivering and retrieving 84 items, and making coffee 30 times. AgiBot previously released the GO-3 foundation model and the embodied intelligence agent "Genie Master," and together with Tsinghua University and Infinigence AI proposed a collective experience learning paradigm, validated in a cluster of 96 robots, where the success rate rose from 86.7% to 98.3% as the number of robots participating in training increased from 16 to 96.

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5. 10:42

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   Six AgiBot Genie G2 Robots Take Up Posts at a Convenience Store, Challenging Continuous 24-Hour Operation

   On November 2, AgiBot launched the "Robot Workers Can't Stop" 24-hour convenience store challenge livestream, with six Genie G2 robots collectively taking up posts, covering tasks such as greeting and reception, coffee preparation, prepared food service, picking and restocking, and tabletop cleaning. The challenge relies on the AgiBot GO-3 embodied foundation model and the Genie Master embodied Agent, focusing on testing the robots' long-duration operation, task execution, and autonomous response capabilities in complex environments, while exploring the feasibility of multi-robot collaborative operation.

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6. 10:42

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