en.Wedoany.com Reported - On June 9, AGIBOT released an open letter to all developer partners, unveiling the AIMA (AI Machine Architecture) embodied intelligence ecosystem technology system and officially launching the "Yuansheng" ecosystem development plan. According to the plan, AGIBOT will invest over 2 billion yuan in special funds over the next five years, with more than 100 million yuan allocated this year to empower AIMA developers. The funds will cover four major areas: scientific research innovation, talent cultivation, partner development, and community operations.
The core positioning of AIMA is to provide a unified technology foundation for embodied intelligence, transitioning from research prototypes to large-scale deployment. Public information shows that AIMA consists of the embodied intelligence native open-source operating system "Link-U OS," the zero-barrier universal robot content creation platform "LinkCraft," the universal robot interactive agent building platform "LinkSoul," and the one-stop universal robot task development platform "Genie Studio." Among these, Link-U OS serves as the ontology operating system, LinkCraft targets motion intelligence content creation, LinkSoul facilitates interactive agent building, and Genie Studio is used for robot task development. AGIBOT previously summarized this system as a "1+3+X" architecture, aiming to unify underlying control, motion generation, interaction design, task development, and application expansion into a single development chain, reducing the adaptation cost for developers from algorithm validation to real-world robot deployment.
The "Yuansheng" ecosystem development plan will revolve around the full-stack AIMA ecosystem, with funds and resources primarily directed toward scientific research and academic innovation, educational talent cultivation, ecosystem partner development, and developer community operations.
On the research front, AGIBOT proposes to collaborate with universities, research institutes, and industry innovation forces to drive breakthroughs in core embodied intelligence technologies through platform co-building, joint R&D, topic research, and challenge-solving initiatives. On the education front, the plan will establish an integrated talent cultivation system of "competitions-courses-training-certifications," promoting the combination of university courses, textbooks, competitions, and industry training. On the partner front, AGIBOT plans to attract commercial partners, technology partners, and scenario providers through hardware and software development standards, standardized interfaces, and joint incubation mechanisms. On the developer community front, AIMA will enhance developers' capabilities for secondary development around robot ontology, motion intelligence, task intelligence, and interaction intelligence through online teaching, offline city events, hands-on workshops, competition rewards, and open-source contribution incentives.
This ecosystem plan also continues AGIBOT's pace this year of shifting from product mass production to scenario deployment. At the partner conference in April, AGIBOT stated that 2026 is the "first year of deployment" for embodied intelligence and disclosed plans to invest over 2 billion yuan in ecosystem building over the next five years. Compared to individual robot product launches, the AIMA and "Yuansheng" plans lean more toward platform-based construction: on one hand, providing developers with a unified toolchain; on the other, integrating universities, research institutions, ecosystem partners, and end-use scenarios into a single collaborative system. For the embodied intelligence industry to enter factories, commercial services, homes, and public scenarios, it requires not only robot hardware but also continuously iterated software systems, task development tools, data loops, application distribution mechanisms, and on-site deployment experience. By simultaneously launching funds, platforms, and developer systems, AGIBOT aims to strengthen its organizational capabilities at the embodied intelligence ecosystem level.
Future priorities will focus on the open-source progress of Link-U OS, the development experience of AIMA's four platforms, the effectiveness of initial developer projects, and whether the "Yuansheng" plan can truly attract universities, industry partners, and scenario customers. As humanoid robots and embodied intelligence move from demonstrations to real-world tasks, those who can lower development barriers, improve scenario replication efficiency, and build stable communities and application markets are more likely to gain an ecosystem advantage in the next phase of industrial competition.
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