RLWRLD and Microsoft Forge Alliance to Revolutionize Industrial Robotics AI with Azure and Global Expansion

November 26, 2025
RLWRLD and Microsoft Forge Alliance to Revolutionize Industrial Robotics AI with Azure and Global Expansion
  • RLWRLD announces a strategic alliance with Microsoft to advance industrial robotics AI research, development, and commercialization, leveraging Azure cloud infrastructure, Microsoft Research engagement, and joint go-to-market efforts in Asia.

  • RLWRLD CEO Jung-hee Ryu emphasizes scaling the robotics foundation model globally with speed and reliability, aiming to set a new global benchmark for real-world robotics AI.

  • The collaboration will enable advanced training methods such as reinforcement learning, imitation learning, and Vision-Language-Action models using RLWRLD’s 4D+ multimodal datasets collected from factories in Korea, Japan, and the United States.

  • The collaboration includes exploring deeper research areas with MSR, such as latent-action modeling and industrial-grade vision-language models tailored for complex factory settings, with potential future formal agreements.

  • The partnership includes potential collaboration with Microsoft Research on latent-action modeling and industrial-grade vision-language models, potentially formalized through future agreements.

  • Potential areas of deeper collaboration with MSR include latent-action modeling and industrial-grade vision-language models tailored to complex factory settings, with possible future formal agreements.

  • RLWRLD plans continued expansion of PoC and commercialization initiatives across multiple industries, strengthening its position in the global physical AI ecosystem.

  • RLWRLD plans to expand PoC and commercialization efforts across multiple industries to strengthen its role in the global physical AI ecosystem.

  • RLWRLD intends to continue expanding PoC and commercialization initiatives across multiple industries, reinforcing its position in the global physical AI ecosystem.

Summary based on 4 sources


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