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FANUC partners with Google to integrate AI agents in robotics

FANUC partners with Google to integrate AI agents in robotics
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🗾Read original on ITmedia AI+ (日本)

💡Major industrial robotics player integrates Google's AI agents—a key milestone for embodied AI in manufacturing.

⚡ 30-Second TL;DR

What Changed

FANUC and Google are collaborating on physical AI for industrial robots

Why It Matters

This partnership signals a major shift in industrial robotics, moving from rigid programming to adaptive, AI-driven control. It could significantly reduce setup times and increase flexibility in manufacturing lines.

What To Do Next

Monitor FANUC's developer portal for upcoming SDKs or APIs that allow integration of custom AI agents into their robotic controllers.

Who should care:Developers & AI Engineers

Key Points

  • FANUC and Google are collaborating on physical AI for industrial robots
  • The system utilizes AI agents to control robotic operations
  • Focuses on advancing industrial automation through AI integration

🧠 Deep Insight

Web-grounded analysis with 16 cited sources.

🔑 Enhanced Key Takeaways

  • The partnership specifically integrates Google Cloud's Gemini Enterprise for generative AI and Google's Intrinsic robotics platform into FANUC's industrial robot systems.
  • FANUC robots will gain advanced capabilities such as processing natural language instructions, identifying and classifying objects in unstructured environments, and autonomously coordinating multiple robots.
  • FANUC has already shipped over 1,000 robots equipped with physical AI capabilities since demonstrating the technology at the International Robot Exhibition in December 2025, indicating accelerating demand.
  • This collaboration provides a crucial 'foundation model layer' that FANUC's existing physical AI stack previously lacked, complementing its ongoing partnership with NVIDIA for simulation and training infrastructure.
  • The integration includes full compatibility with Intrinsic's Flowstate development environment, allowing developers to program FANUC robots through a visual, web-based interface, moving away from proprietary FANUC code.

🛠️ Technical Deep Dive

  • AI Foundation Models: The system leverages Google Cloud's Gemini Enterprise, an enterprise-grade generative AI solution, for understanding human instructions and complex reasoning.
  • Robotics Platform: Google's Intrinsic robotics platform, including its Flowstate development environment, is integrated to facilitate visual, web-based programming and abstract robot control.
  • AI Agent Capabilities: The AI agents are designed to enable robots to process natural language commands, recognize and classify objects in dynamic settings, and autonomously orchestrate tasks among multiple robots.
  • Physical AI Concept: This initiative advances 'Physical AI,' which merges cognitive intelligence (like large language models) with physical robotic actions, allowing robots to perceive, make decisions, and execute tasks in real-world environments.
  • Simulation and Training: FANUC also utilizes NVIDIA AI infrastructure, including Jetson edge modules for edge AI, NVIDIA Isaac Sim for open robotic simulation, and NVIDIA Omniverse libraries for creating photorealistic digital twins and virtual training.
  • Open Platform Support: FANUC robots support ROS 2 (Robot Operating System 2) through open-source drivers and Python as a standard programming language, facilitating the development of AI-driven applications.
  • Research Collaboration: FANUC is participating in Google DeepMind's 'Gemini Robotics Trusted Tester Program' to further AI research on foundational robotics models.
  • Gemini Robotics Models: Google DeepMind's Gemini Robotics models (e.g., Gemini Robotics 1.5 and Gemini Robotics-ER 1.6) are Vision-Language-Action (VLA) models that translate visual information and instructions into motor commands, enabling robots to reason about physical spaces, plan multi-step tasks, and adapt to new situations.

🔮 Future ImplicationsAI analysis grounded in cited sources

Industrial robots will become significantly more adaptable and easier to program, democratizing advanced automation.
The integration of Gemini Enterprise for natural language instructions and Intrinsic's Flowstate for visual programming reduces the need for specialized coding, enabling robots to adapt to unstructured environments and making advanced robotics accessible to a broader range of manufacturers.
The partnership will accelerate the adoption of 'Physical AI' in manufacturing, directly addressing skilled labor shortages.
By enabling robots to understand human commands, learn, and adapt autonomously, this collaboration allows manufacturers to overcome labor challenges and implement sophisticated automation solutions more rapidly and flexibly.
This collaboration establishes a new benchmark for AI integration in industrial robotics, potentially driving other manufacturers to seek similar multi-vendor AI stacks.
FANUC's combination of Google's foundation models and Intrinsic's platform with NVIDIA's simulation and training infrastructure creates a comprehensive and currently unmatched AI stack, setting a precedent for future advanced automation solutions.

Timeline

2021
Intrinsic, Google's robotics platform, graduated into an independent Alphabet-owned company.
2022
Intrinsic acquired Open Source Robotics Corp., the for-profit arm behind ROS.
2025-03
Google DeepMind introduced Gemini Robotics, a foundational AI model for robotics.
2025-12
FANUC unveiled its Physical AI system at the International Robot Exhibition, shipping over 1,000 related robots.
2026-02-25
Intrinsic was fully integrated into Google, aligning its robotics platform with Google DeepMind and Gemini models.
2026-05-13
FANUC officially announced its partnership with Google to integrate AI agents using Google Cloud's Gemini Enterprise and Intrinsic.
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Original source: ITmedia AI+ (日本)