Gemini 4 Argon for Robotics
Overview
Google DeepMind introduces Gemini 4 Argon, a physical reasoning model excelling in robotics with 87% on ERQA benchmark. It enables complex tasks like mobile manipulation and zero-shot control, supporting real-to-sim workflows and safety-focused development. The model also controls a Boston Dynamics Spot® robot to perform trash bin tasks, marking progress toward physical AGI.
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- Google DeepMind — RoboticsSignalGemini 4 Argon for Robotics
Google DeepMind introduces Gemini 4 Argon, a general-purpose physical reasoning model that significantly advances robotics through capabilities in robot control, real-to-sim-to-real workflows, physical understanding, and research self-improvement. Argon outperforms other frontier models on the Embodied Reasoning (ERQA) benchmark, achieving 87% in 3D physical reasoning tasks. It enables complex robotic tasks like mobile manipulation, zero-shot control, and video world model steering, while also supporting simulation reconstruction from real-world data and human videos. The tool emphasizes safety, iterative improvement, and cross-embodiment applications, marking a milestone in the path toward physical AGI.
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