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Beijing releases three-year embodied AI robotics plan, targets annual capacity of 200,000 robots

Beijing has released a 2026–2028 plan for its embodied AI robotics industry. It aims to build annual production capacity for 200,000 complete robots in Beijing and collect more than 1 million hours of data across at least 100 real-world settings. The plan also targets benchmark applications in industrial, service and specialized settings, including handling, sorting and assisted care; these are goals for the next three years.

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Beijing releases embodied AI robotics plan, targets at least 200 companies

The Beijing Municipal Bureau of Economy and Information Technology has issued a 2026–2028 plan for embodied AI robotics. It calls for one-on-one services to help robotics companies pursue listings and aims to cultivate at least 200 companies across areas including complete robots, key components, models and data collection. The plan also supports approaches including vision-language-action models, world models and reinforcement learning.

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首都之窗 · 公开报道 Machine translation

Beijing releases three-year embodied AI robotics plan, targets annual capacity of 200,000 robots

Beijing has released a 2026–2028 plan for its embodied AI robotics industry. It aims to build annual production capacity for 200,000 complete robots in Beijing and collect more than 1 million hours of data across at least 100 real-world settings. The plan also targets benchmark applications in industrial, service and specialized settings, including handling, sorting and assisted care; these are goals for the next three years.

IT之家 科技新闻 Machine translation

Beijing releases embodied AI robotics plan, targets at least 200 companies

The Beijing Municipal Bureau of Economy and Information Technology has issued a 2026–2028 plan for embodied AI robotics. It calls for one-on-one services to help robotics companies pursue listings and aims to cultivate at least 200 companies across areas including complete robots, key components, models and data collection. The plan also supports approaches including vision-language-action models, world models and reinforcement learning.