Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning
Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning
Google DeepMind has released Gemini Robotics-ER 1.6, an upgraded model that enhances embodied reasoning for robotics. This model improves spatial reasoning, multi-view understanding, and safety compliance, enabling robots to perform complex tasks like instrument reading. It is available via the Gemini API and Google AI Studio, with examples provided in a developer Colab.
Google DeepMind's Gemini Robotics-ER 1.6 represents a significant advancement in embodied reasoning for robotics, enhancing spatial reasoning, multi-view understanding, and safety compliance. It introduces instrument reading capabilities, crucial for industrial applications, and demonstrates improved performance over previous versions in both task success detection and safety instruction following
Evidence and limits
Published automatically after robotics and source-evidence checks; no manual editorial approval is recorded. Source assertions are not independently verified. Missing information remains not reported.
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Source excerpts and review record
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Original source quotation: “Gemini Robotics-ER 1.6 shows significant improvement over both Gemini Robotics-ER 1.5 and Gemini 3.0 Flash , specifically enhancing spatial and physical reasoning capabilities such as pointing, counting, and success detection.”
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Original source quotation: “Gemini Robotics-ER 1.6 is available to developers via the Gemini API and Google AI Studio .”
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Original source quotation: “Gemini Robotics-ER 1.6 achieves its highly accurate instrument readings by using agentic vision , which combines visual reasoning with code execution.”
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Original source quotation: “Gemini Robotics-ER 1.6 improves substantially compared to Gemini Robotics-ER 1.5 on Safety Instruction Following which tests the ability to adhere to physical safety constraints.”
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Original source quotation: “Gemini Robotics-ER 1.6 is our safest robotics model to date, demonstrating superior compliance with Gemini safety policies on adversarial spatial reasoning tasks compared to all previous generations.”
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Source：Google DeepMind — Robotics · deepmind.google