The key facts

  • 110 Expedition A3 robots danced in sync in Jinan on October 24, 2026
  • A Guinness record was set for the number of humanoid robots dancing simultaneously
  • All robots were mass-produced models without special modifications for the performance

Record-breaking dance in Jinan

On October 24, in the city of Jinan, Shandong province, at the site of the Huanghe international exhibition center, 110 humanoid robots of the Expedition A3 model performed a complex synchronized dance program. This was reported by Kun.uz. The robots, close to human size, moved in formation, jumped, swapped places, performed wave-like movements and reformed into different figures several times; in one episode they arranged themselves to form the shape of “2026.” When transitioning between parts of the dance, the group continued to act in unison.

How the record was verified and the group was controlled

A representative of Guinness World Records was present at the event: he verified the number of participating robots and presented an official certificate. The result was recorded as a record for the number of humanoid robots dancing simultaneously. To coordinate the movements, AGIBOT used its own LinkBots platform, designed for planning and managing the tasks and movements of many robots as a group — this way each robot's movements were synchronized with the overall program.

Mass-produced robots and the limits of the achievement

According to the company, all 110 robots were mass-produced models and were not specially modified for this performance — this shows that AGIBOT is capable of coordinating commercially produced robots as part of a large group. The source notes that the demonstration showed the possibility of controlling many humanoid robots under a complex shared program, with communication systems and centralized control playing a key role. At the same time, a limitation is emphasized: a synchronized dance is a performance under controlled conditions, and it does not by itself prove that such robots can perform complex tasks just as reliably in factories or in other real-world working environments.