AgiBot reportedly sets record for simultaneous dance by 110 humanoid robots

On October 25, 2026, Humanoid.Guide reported that 110 AgiBot Expedition A3 humanoid robots set a Guinness World Record for simultaneous dancing in Jinan, China.

The reported simultaneous movement of 110 robots and the use of LinkBots and ultra-wideband positioning indicate that a control layer for coordinating large numbers of mobile robots was part of the demonstration. However, the record does not prove task performance in factories or other settings; assessing practical utility requires separate evaluations that include operating time and working conditions.

The significance of the record involving 110 robots moving simultaneously lies not only in the capabilities of individual robots but also in making their movements work together as a group. The report said the robots used the LinkBots cluster control platform for control and ultra-wideband (UWB) for positioning. This suggests that, in addition to generating each robot’s movements, a control layer that tracked each robot’s position and synchronized the group’s movements supported the demonstration. However, the record shows coordinated movement in a specific setting; it is not a measure of long-term uptime or task success rates. We also published an article on October 25, 2026, about AGIBOT’s humanoid robot, the “A3 Ultra” Humanoid.Guide publishes article about A3 Ultra. However, the fact that the related article was published does not establish a connection between the specifications or positioning of the A3 Ultra and the Expedition A3 in this report. The report can be viewed as an example of the operational layer for moving many robots simultaneously coming into focus, separate from an introduction to an individual robot. An industry-level issue is that as the number of robots increases, maintaining consistent positioning, communications and movement commands becomes necessary, apart from the capabilities of individual units. The control platform used for the record demonstrates coordinated group movement, but does not confirm repeatability of tasks or adaptation to changing conditions of the kind required in manufacturing, logistics and other workplaces. The number of robots in the record therefore should not be treated as a direct measure of practical deployment scale or productivity. The next points to verify include the positioning error allowed during the demonstration, communications conditions, how long synchronization was maintained, and how failures or stoppages were handled. If official record documentation or technical specifications become available, it will be easier to assess separately the reported record and the system’s ability to conduct reproducible group operations. The article provided does not include these quantitative conditions or results from validation in industrial applications. See the original source for details.