It has been just over a week since Chinese New Year 2026 and the impact of this year’s robotic display still lingers in my mind.
For those who have not already seen it, the performances stole the CNY limelight, featuring humanoid robots executing jaw-dropping feats such as somersaults and nunchaku routines—blending traditional culture with cutting-edge robotics and AI technology.
I could not help but imagine that if these robots were dressed in full traditional attire and masks, I would be hard-pressed to distinguish them from human performers.
These viral displays highlight China’s growing dominance in robotics, from AI-driven humanoids to industrial robots, signalling a significant leap in automation that is reshaping industries worldwide.
The tech enthusiast in me—as I’m sure many of you can relate—began wondering about the engineering and infrastructure puzzle pieces that made this possible.
Infrastructure Considerations
- Physical Hardware – The cost-effective materials and scalable mass production capabilities required to design robots capable of such performance suggest clear pathways toward real-world consumer and industrial applications.
- Compute Power: CPUs, GPUs, and AI Acceleration- Deploying these robots require edge computing hubs, high performance processors, AI accelerators, and potentially cloud-based large language models (LLM) integration. This enables real-time vision processing, path planning, environmental perception, and precise motion control, allowing the robots to perform complex and dynamic movements with high synchronization accuracy
- Network Infrastructure – The underlying high-speed backbone network facilitates real-time command, control, and data-transmission—essential for large-scale synchronized robotic choreography. Localized 5G-A networks likely played a key role in minimizing latency and enhancing responsiveness
- Digital Platforms – Software platforms enable seamless integration, centralized control, developer customization, and system scalability, allowing robotic systems to be adapted across multiple industries and use cases.
Sovereignty Considerations
Balancing rapid high-tech adoption requires data localisation policies, cybersecurity safeguards, and protection of critical infrastructure components to ensure operational resilience and national autonomy.
Who Built the Robots Behind the CNY 2026 Show?
The company behind the spectacle is Chinese robotics startup Unitree Robotics, founded in 2016. Unitree has often been compared to Boston Dynamics, but with a significantly more affordable pricing model—much like Deepseek’s positioning relative to ChatGPT.
For example, Unitree’s R1 robot starts at approximately USD 5,000, utilizing cost effective hardware while supporting modular LLMs that allow developers greater customization and experimentation.
In addition, the system platform is open-source, enabling distributed training, custom model development, and seamless deployment with support for major open-source frameworks. In 2025, the company announced that users could further customise and control robots via a mobile application. In a world where most individuals own at least one smart device, the primary limitation becomes creativity rather than accessibility.
What Hardware Do These Robots Run On?
The robots run on high-performance computing module featuring 8-core CPU and integrated GPU. Newer models offer integration with NVIDIA Jetson Orin models, delivering AI performance up to 275 TOPS (trillions of operations per second).
For Terminator fans, it may be reassuring to know that—at least for now—battery limitations mean these robots operate for 1-2 hours before requiring charging.
Note: The G1 robots featured in the CNY show are more advanced models and may have enhanced performance specifications.
How Were the Robots Coordinated?
The robots relied on cluster-performance technology, enabling synchronized group movement. Onboard sensors provided real-time environmental perception, supported by localised 5G-A networks. However, while the robots were physically autonomous in movement, they were largely pre-programmed and choreographed for the specific event rather than operating with full independent agency.
Implications for Infrastructure and Sovereignty: Infrastructure Control & Autonomy
The shift to software-defined, centralized robotics platforms means that manufacturing, logistics, and operational infrastructure increasingly depends on digital orchestration layers and ecosystem partnerships. Whoever governs these platforms–whether vendors, hyperscalers, or local integrators–can significantly influence operational autonomy, resilience, and long-term competitiveness.
Regional adoption of integrated execution platforms—particularly in Asia Pacific’s push for industrial embodied AI–signals a move toward locally governed infrastructure ecosystems, reducing dependency on foreign technology stacks. In Asia/Pacific, local partnerships are becoming essential to accelerating innovation while protecting data sovereignty and regulatory compliance.
Reflecting on China’s CNY 2026 robotic spectacle, I was struck not only by the technical brilliance and seamless choreography, but by how it exemplifies the convergence of affordable, high-performance robotics infrastructure and strategic technological self-reliance. The future of automation is not just about building smarter robots—it is about who controls the orchestration layers, data flow, compute infrastructure, and platform ecosystems behind them.
What’s your take on balancing innovation and digital independence?
