AGIBOT Livestreams Six G2 Robots in a 24-Hour Convenience Store Challenge

AGIBOT is putting six G2 robots through a convenience-store shift in a 24-hour livestream, offering viewers an extended look at its machines working around people, shelves and service counters.

The company’s “Robots Never Clock Out” challenge runs from November 2 at 10:00 a.m. to November 3 at 10:00 a.m. China time (UTC+8). That is 02:00 UTC to 02:00 UTC, or 03:00 CET to 03:00 CET, on the same dates. AGIBOT describes the robots as store trainees facing rush-hour crowds, overnight duty and the morning breakfast period.

Key Takeaways

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• Six AGIBOT G2 robots are participating in a 24-hour convenience-store challenge on November 2–3.
• Planned work includes stocking shelves, making coffee, preparing hot food, greeting customers and clearing rubbish.
• The livestream provides a longer window into operation than a short demonstration, but does not by itself establish uninterrupted autonomous work by every robot.

Watch the store challenge

The broadcast is available on YouTube, with AGIBOT also sharing the event on X.

In its official announcement, AGIBOT sets out four periods: the lunch rush, evening rush, late-night duty and breakfast preparation. Alongside customer-facing service, the planned tasks include replenishing and organizing merchandise and handling waste.

The supplied livestream screenshot shows several wheeled robots positioned around a stocked store, with people also present. That setting brings several demands together: moving through shared space, reaching merchandise, manipulating objects and responding to requests while other activity continues nearby.

A longer look at everyday work

The useful question is how the robots handle the routine variation that accumulates over a shift. An item may be difficult to grasp, a person may block a route, or a request may interrupt work already underway. A longer broadcast gives viewers more opportunity to see pauses, retries and recoveries alongside successful actions.

The challenge follows AGIBOT’s AI Day announcements, including new models, the G2 Max robot and its proposed Worken measure of productive robot work. Our AGIBOT AI Day coverage explores those announcements in more detail. That coverage hub and the AI Day article series were sponsored by AGIBOT. The company presents the store challenge as a practical test of its technologies working together.

However, the announced 24-hour duration describes the event. It does not establish that each robot works continuously without charging, maintenance or assistance. The promotional material reviewed does not provide a complete intervention policy or a scoring method for task success.

Those details will matter when assessing the outcome: how many requests the robots complete, how long tasks take, how often staff intervene and whether the machines recover without help. For now, the livestream offers a chance to follow a longer stretch of robot work as it unfolds, rather than relying solely on selected highlights.