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English text is being prepared.Updated Nov 2 11:13

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

AI summary

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.

Body · AI translation

At 10:00 on November 2, AgiBot officially launched the "Robot Workers Can't Stop" 24-hour convenience store challenge livestream, with six Genie G2 robots collectively taking up their posts and undergoing real-time "supervision" from the entire internet.

It is reported that this challenge covers multiple tasks including greeting and reception, coffee preparation, prepared food service, picking and restocking, and tabletop cleaning, involving capabilities such as human-robot interaction, object grasping, fine manipulation, and multi-task coordination, with a focus on testing the robots' ability to operate for extended periods, execute tasks, and respond autonomously in complex environments.

At the technical level, this challenge relies on core technologies such as the AgiBot GO-3 embodied foundation model and the Genie Master embodied Agent, supporting the robots in completing operational tasks at different posts through task understanding, motion planning, and execution feedback, while exploring the feasibility of multi-robot collaborative operation.

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English text is being prepared.