7Google DeepMind Blog·
Google DeepMind releases Gemini Robotics ER 2 with video understanding and multi-robot collaboration
Google DeepMind announced Gemini Robotics ER 2, a new model for robotic applications featuring improved video understanding, tool orchestration, and multi-robot collaboration capabilities. The release is positioned as a significant step forward from its predecessor in enabling robots to reason and solve real-world tasks. This advances DeepMind's effort to apply frontier multimodal models directly to physical robotics systems.
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Gemini Robotics-ER 1.6: Enhanced Embodied Reasoning for Autonomous Robotics
DeepMind has released Gemini Robotics-ER 1.6, an updated embodied reasoning model targeting spatial reasoning and multi-view understanding for autonomous robotics applications. The release represents an incremental update to the Gemini Robotics-ER line, focused on improving real-world task performance. The announcement comes from DeepMind's official blog, indicating a production-grade capability update rather than a research preview.
Gemini Robotics brings AI into the physical world
Google DeepMind has announced Gemini Robotics and Gemini Robotics-ER, two AI models purpose-built for robotic systems to perceive, reason about, and act within physical environments. The release extends the Gemini model family into embodied AI and robotics applications. Gemini Robotics-ER appears to target enhanced reasoning capabilities for robotic control. This marks a significant step by DeepMind toward deploying frontier multimodal models in physical-world settings.
Google DeepMind releases Gemini Robotics 2 with whole-body intelligence capabilities
Google DeepMind announced Gemini Robotics 2, a new robotics model designed to enable whole-body intelligence in robotic systems. The release extends the Gemini model family into physical embodied AI, targeting coordinated full-body robot control. This represents a significant step in applying frontier multimodal models to real-world robotics.
Gemini Robotics 1.5 brings AI agents into the physical world
DeepMind has announced Gemini Robotics 1.5, a model designed to enable physical AI agents with capabilities spanning perception, planning, reasoning, tool use, and multi-step task execution. The release positions Gemini as a foundation for embodied robotics systems. This represents an extension of the Gemini model family into physical-world agentic applications.
Gemini 3.5: Frontier Intelligence with Action
Google DeepMind has announced Gemini 3.5, a new model generation positioned around agentic capabilities and complex workflow execution. The announcement emphasizes action-oriented AI, suggesting a focus on tool use, multi-step reasoning, and autonomous task completion. The blog post is brief, indicating this may be an initial announcement with further details to follow.
Gemini 2.5: Google DeepMind's Most Intelligent AI Model with Built-in Thinking
Google DeepMind has announced Gemini 2.5, described as their most intelligent AI model to date, with thinking capabilities built directly into the model. The announcement comes from the official DeepMind blog and marks a significant step in Google's frontier model development. The integration of thinking natively into the model suggests a chain-of-thought or reasoning-first architecture similar to approaches seen in competing models.
Google DeepMind introduces computer use capability in Gemini 3.5 Flash
Google DeepMind announced computer use functionality in Gemini 3.5 Flash, enabling the model to interact with desktop and web interfaces autonomously. This follows similar capability launches from Anthropic (Claude computer use) and OpenAI, extending agentic tool-use to Google's model lineup. The announcement comes from a tier-1 primary source and represents a meaningful expansion of Gemini's agentic capabilities.
A new era of intelligence with Gemini 3
DeepMind has published a blog post titled 'A new era of intelligence with Gemini 3,' suggesting a major new model release or announcement in the Gemini series. The body content was not provided, but the title and source indicate this is a flagship model announcement from Google DeepMind. This would represent the next generation of the Gemini model family following Gemini 2.x.