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Introduction

Leveraging generative AI, AI Agents and digital twin technologies, Nokia NGAST platform efficiently trains industrial AI agents with minimal real-world data. This empowers embodied intelligence, such as humanoid robots, with the generalization capabilities needed to accelerate digital transformation across manufacturing and other industries.

Accelerating humanoid robot adoption with digital twins and AI Agents

Nokia's NGAST platform has overcome the significant challenge of needing amounts of TeleOp data for training. It achieves this through a core innovation that sets it apart in the industry.

By integrating Generative AI, LLM, and digital twin technology, the platform uses a small amount of high-quality data to expand training datasets by hundreds or even thousands of times. This drastically cuts data collection costs and time, while also increasing simulation training efficiency by over 10 times.

The platform also enables embodied intelligence to have multimodal perception and autonomous decision-making. This greatly enhances the ability of industrial AI agents to generalize skills and adapt to various tasks and scenarios.

With its strong scalability, the platform can support various types of embodied intelligence and robots. This makes it a crucial technical enabler for the successful application of humanoid robots in key manufacturing sectors. The solution was highly recognized by the industry, receiving the GTI Award at the 2025 Mobile World Congress.

Nokia NGAST, successful application, expanding global partnership

With its successful experience at SAIC-GM Cadillac, the Nokia NGAST platform is actively expanding global partnerships. The platform demonstrates significant economic potential by boosting training efficiency over 10 times and increasing production by 30%-50%, while also reducing costs and risk in high-risk tasks. Furthermore, it creates new, high-skilled jobs with an expected growth of 30-50%, while promoting green manufacturing by reducing energy consumption and waste.

Core Engine for Industrial AI: Creating High-Skilled Jobs and Building an Open Ecosystem

As a core engine for industrial AI, the Nokia NGAST platform is having a profound impact on technology and industry structure. The platform overcomes data and cost bottlenecks in AI agent training by using generative AI to drastically cut data collection time and costs. This greatly enhances an agent's generalization and adaptability, providing a solid foundation for large-scale embodied intelligence deployment in complex environments.

It is expected to drive the deployment of over one million AI agents in the automotive sector alone by 2035. By creating new, high-skilled jobs and an open ecosystem, it makes the leap from industrial automation to full autonomy possible.

Nokia NGAST Platform: 2025 GTI Innovation Award Winner and Industrial AI Leader

Winning the 2025 GTI Innovation Award, the Nokia Industrial AI Agent project demonstrates leadership in the field. Its core, the Nokia NGAST platform, leverages generative AI and digital twins to overcome data bottlenecks and high costs. This significantly boosts training efficiency, giving embodied intelligence excellent generalization and laying a solid foundation for the future of industrial autonomy.

The World Internet Conference (WIC) was established as an international organization on July 12, 2022, headquartered in Beijing, China. It was jointly initiated by Global System for Mobile Communication Association (GSMA), National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT), China Internet Network Information Center (CNNIC), Alibaba Group, Tencent, and Zhijiang Lab.

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