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October 29, 2026

World Record: 110 Humanoid Robots Dance Synchronously in China

World Record: 110 Humanoid Robots Dance Synchronously in China
AgiBot's demonstration in Jinan enters the Guinness World Records. The robots, production models, perform tai chi and dance without real-time human control.
The news

An army of 110 humanoid robots has secured a spot in the Guinness World Records by performing a choreography lasting over five minutes in perfect synchronization, without any real-time human control. The spectacle, staged in Jinan, China, featured the robots alternating sequences of tai chi and dance steps in unison, setting a new record for the largest number of humanoid robots dancing simultaneously.

The stars of the performance are the A3 models produced by the company AgiBot. The company emphasized that these are robots intended for commercial production and not prototypes specially modified for the event. The coordination of the group was made possible by the LinksBots control platform, developed by AgiBot itself, combined with advanced positioning technology.


The context

The humanoid robot sector is undergoing rapid evolution, driven by the search for applications that go beyond the purely industrial realm. AgiBot, the Chinese company behind the record, is actively exploring new use scenarios for its creations, aiming to make them an integral part of public events and daily services. The goal is to demonstrate reliability, group coordination, and autonomy in complex and dynamic environments.

This demonstration is not an isolated case in China's technological landscape. In Jinan, for instance, some humanoid robots are already being used in practical trials within the city's subway system, where they provide information to passengers, help manage crowd flow, and present aspects of local culture. The Guinness World Record thus serves as a spectacular testing ground for technologies that aim to integrate into future contexts such as parades, tourist shows, and other mass entertainment initiatives, showcasing the potential of coordinated robotic fleets.

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