Beijing Humanoid Robot Innovation Center Unveils Multi-Agent Group Control for Synchronized Robot Formations

The Beijing Humanoid Robot Innovation Center (National Local Joint Embodied Intelligence Robot Innovation Center) has unveiled a multi-agent group control solution, demonstrating multiple full-size Tiangong 3.0 humanoid robots performing highly synchronized, multi-formation dance routines with impressive fluidity.

According to the center, the solution is built on its independently developed general-purpose embodied intelligence platform — Huisi Kaiwu — which achieves three key capabilities: a unified intelligent base compatible with multiple robot types, a single global command system driving multi-agent coordination, and one-time technical development adapting to diverse application scenarios.

The system’s cognitive brain handles global scene understanding, long-sequence task planning, multi-agent task allocation, and dynamic environment perception. This enables autonomous decomposition of global objectives into granular subtasks with comprehensive planning and coordination.

The execution cerebellum relies on a self-developed low-latency distributed communication protocol, millisecond-level synchronization control algorithms, and a cross-platform motion adaptation engine. Together, these components orchestrate robot motion control, navigation execution, and status feedback, significantly improving synchronization, stability, and coordination during collective operations.

Synchronized humanoid robots in formation

The entire solution supports low-code development and rapid deployment, allowing flexible adaptation across different industry needs and lowering the barrier to real-world application deployment.

Multi-robot coordination demonstration

This breakthrough marks a significant step forward in multi-humanoid coordination, addressing one of the key challenges in deploying humanoid robots in real-world environments where synchronized teamwork is essential — from manufacturing assembly lines to logistics warehousing and emergency response scenarios.