According to God of Prompt, Google DeepMind has unveiled Gemini Robotics 1.5, an AI system that integrates two models—one as the 'brain' for planning and decision-making, and another as the 'hands' for executing tasks. This next-generation 'agentic' robotics platform enables robots to autonomously interpret complex commands like 'clean the table,' breaking them into numerous micro-decisions and adapting to unexpected scenarios. The AI can access Google Search mid-task for real-time information and seamlessly transfer learned skills between different robot hardware. This development marks a significant shift from passive automation to proactive, context-aware robotics, with major implications for real-world applications in home automation, logistics, and service industries, rather than just factory settings (Source: @godofprompt on Twitter).

According to @sundarpichai, the new Gemini Robotics 1.5 models are set to significantly enhance robots' ability to reason, plan ahead, utilize digital tools such as Google Search, and transfer learning between different types of robots. This advancement marks a major step toward creating general-purpose robots that can perform a broader range of tasks autonomously. The integration of digital tools and cross-robot transfer learning is expected to improve operational efficiency and adaptability, opening up new business opportunities in automation, logistics, and service industries (source: @sundarpichai via Twitter, September 25, 2025).

According to @GoogleDeepMind, Gemini Robotics 1.5 introduces an advanced agentic AI system that significantly improves robot reasoning, planning, and interaction in the physical world. The system leverages digital tools such as Google Search to access real-time information, enabling robots to adapt to dynamic environments and make informed decisions. Enhanced human-robot interaction capabilities open new business opportunities in logistics, manufacturing, and service industries, where robots can autonomously perform complex tasks and collaborate with human teams. This development marks a major milestone in AI-driven robotics, expanding practical applications and accelerating industry adoption (source: @GoogleDeepMind, Sep 25, 2025).