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Google launch new Gemini model that can run on robots locally

Google DeepMind has unveiled two revolutionary robotics AI models—Gemini Robotics and Gemini Robotics‑ER, both based on Gemini 2.0—designed to run locally on robots and complete physical tasks without cloud dependency


🤖 What Is Gemini Robotics?

  • Vision‑Language‑Action model: Gemini Robotics interprets visual and language input to take smooth physical actions—folding origami, unscrewing bottle caps, or packing lunchboxes—all executed onboard the robot
  • Embodied reasoning: The Robotics‑ER variant maps spatial environments, plans trajectories, and even generates low-level code to control the robot’s movements
  • Tested on platforms like the bi‑arm ALOHA 2 and Apptronik’s Apollo humanoid robot

🌟 Key Capabilities: Generality, Interactivity & Dexterity

  1. Generality: Works with unfamiliar objects and tasks—robots can perform instructions they’ve never seen before, such as “slam dunk a toy basketball.” blog.google
  2. Interactivity: Adapts in real-time to changing commands or environments.
  3. Dexterity: High-precision manipulation enables fine motor skills like origami folding and precise object handling

🔒 Running Locally on Robots

A major advancement is that Gemini Robotics and Robotics‑ER can run on-device in real-time—no cloud needed—empowering robots with offline intelligence. They process vision, language, spatial reasoning, and action internally on their own onboard chips or accelerators


🔬 Safety & Responsible AI

Google emphasizes multi-layered safety:

  • Built-in evaluation to ensure safe action plans
  • Compliance benchmarks like their ASIMOV framework and “Robot Constitution” modeled on Asimov’s laws
  • Collaborations with trusted testers including Apptronik, Boston Dynamics, Agile Robotics, and more

🚀 Why This Matters Now

  • Accelerates robotics innovation: Startups and labs save development time and costs by using pre-trained embodied models .
  • Truly embodied AI: Models no longer confined to digital realms—they now sense and physically act in real environments .
  • Potential for real-world robotics: Could transform manufacturing, homes, logistics, healthcare, and hospitality.

🔮 What’s Next

  • Expanded partner access: Early access programs for additional robotics teams.
  • Benchmark improvements: Ongoing work to refine safety and performance metrics across diverse tasks.
  • Future commercialization: While no immediate product launch announced, this lays the foundation for more capable general-purpose robots in years ahead.

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