Qiyuan Robot Integrates with Tencent WorkBuddy, Accelerating AI's Entry into the Physical World
Tian Hua, CEO of SWANCOR and Qiyuan Robot, announced at the 2026 Tencent Global Digital Ecosystem Summit that Qiyuan Robot has integrated with Tencent WorkBuddy. Users issue instructions in natural language, WorkBuddy understands the intent and breaks down the tasks, and then the robot executes them by combining environmental perception with motion capabilities. The WorkBuddy ecosystem boasts more than 100,000 Skills; this integration extends them to Qiyuan Robot's application development, allowing users to orchestrate and create robot skills through natural language, lowering the barrier to robot application development.
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Sina Tech News, evening of October 29: At the 2026 Tencent Global Digital Ecosystem Summit, Tian Hua, CEO of SWANCOR Advanced Materials and Qiyuan Robot, shared the latest progress of Qiyuan Robot's integration with Tencent WorkBuddy.
Tian Hua said that moving from digital AI to physical AI requires the coordinated evolution of the robot body, AI, and the ecosystem. Qiyuan Robot's integration with WorkBuddy lets AI step from the screen into reality, perceiving the environment, understanding needs, and executing tasks in real-world scenarios, achieving sensing, thinking, following, and acting in the physical world, so that physical AI no longer has a threshold.
Tian Hua introduced that WorkBuddy is the key hub that helps Qiyuan Robot bridge the digital world and the physical world. Users issue instructions in natural language; WorkBuddy understands the intent and breaks down the tasks; Qiyuan Robot combines environmental perception and motion capabilities to execute the tasks, forming an interaction chain from task understanding to robot execution.
Previously, the barrier to robot application development was high, making it difficult to match ever-changing real-world needs. The WorkBuddy ecosystem has more than 100,000 Skills. This integration will extend its rich Skills to Qiyuan Robot's application development. Users can use the relevant capabilities to orchestrate and create robot skills through natural language, lowering the barrier to robot application development and enabling more people to participate in robot application development. news_keyword_pub,stock,sz300024&sh688585 iframe below the main text iframe below the main text General statement General statement QR code at the end start QR code at the end start
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