Google DeepMind / Gemini

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Google DeepMind / GeminiGoogle DeepMind / Gemini
SEP 15, 2026

Scientific American reports DeepMind’s Gemini Robotics 2 and Asimov benchmark for robot safety

DeepMind is testing multimodal vision-language-action models (Gemini Robotics ER 2) on whole-body humanoids and introduced the Asimov benchmark to evaluate robot behavior and safety considerations.

In this brief: 3 sections 1 min read
    • ER 2 decomposes verbal requests into sequences of steps
    • Lower-level models convert visual input and plans into continuous movement
    • Works across different robot platforms including Apptronik’s Apollo 2
    • Safety measures include safe-stop behavior when humans approach
    • New Asimov benchmark created to assess robot behavior and potential for harm
    • Robot bodies also carry hardware safety systems (sensors, limits) alongside model-level protections
    • Demos include fetching objects, changing lightbulbs, tying knots
    • Researchers highlight limitations around tactile sensing and pressure estimation
    • Work described as early-stage but progressing toward whole-body control
Read full analysis on scientificamerican.com ↗
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