Six AGIBOT G2 Robots Complete 1,730 Tasks in 24-Hour Shanghai Convenience Store Trial

Four of the six robots pass a performance assessment as the trial puts customer service, retail operations and embodied AI capabilities to the test in a working store.  Six AGIBOT G2 wheeled humanoid robots completed a 24-hour trial at an operating convenience store in Shanghai’s Xuhui District, performing a combined 1,730 tasks ranging from customer assistance and coffee preparation to shelf restocking and cleaning. The trial ran from 10 a.m.

on November 2 to 10 a.m. on November 3 and was livestreamed to an audience of more than two million viewers across online platforms. Four of the six robots passed the final performance assessment. The event marked the conclusion of AGIBOT’s AI WAVE technology showcase, launched on October 22. Following a series of releases spanning robotics data, simulation, AI models, hardware and operational software, the convenience store trial brought these technologies together in a real-world setting to examine how robots perform everyday tasks over an extended operating period. More broadly, the trial showed how embodied AI could move beyond controlled demonstrations and operate in the changing conditions of a live, customer-facing environment. Six Robots Take on Everyday Store Operations The six G2 robots were assigned different responsibilities: customer assistance, shelf inspections, restocking, coffee preparation, checkout and hot food service, and store cleaning. Over the 24-hour period, they completed 683 customer-service interactions, 369 product pickups and deliveries, 147 coffee orders, 126 breakfast servings, 277 shelf inspections and restocking tasks, and 128 table-cleaning tasks. The trial covered four operating periods: the lunchtime rush, evening peak hours, overnight operations and the following morning’s breakfast rush. Each period brought different demands, from handling customer requests during busy hours to maintaining store operations overnight. The robots were assessed on their time on duty, task completion, customer feedback, response times and ability to handle unexpected situations. Four passed the final assessment, while two did not meet all the criteria. Two evaluators also conducted rounds of practical tests based on situations robots might encounter while serving customers. In one test, they ordered regular and sugar-free Coca-Cola to check whether the robots could distinguish between similar-looking products. In another, they rearranged packs of chewing gum on a shelf and asked the robots to return them to their correct positions.