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Gemini Robotics 1.5: Transparent, Adaptable AI Agents

Robots That Think, Reason, and Act

The age of intelligent robots operating alongside humans in real-world environments is rapidly approaching. With Google DeepMind's Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, robots are making remarkable progress in understanding their surroundings, planning multi-step actions, and executing tasks with a new level of adaptability and transparency.

The Gemini Robotics Duo: Vision, Language, and Embodied Reasoning

Gemini Robotics 1.5 is a cutting-edge vision-language-action (VLA) model that interprets both images and spoken or written instructions. This allows robots to not just carry out commands but to deliberate and explain their processes, fostering greater trust and collaboration in complex settings. 

Meanwhile, Gemini Robotics-ER 1.5 acts as a high-level decision-maker, planning strategies and generating detailed instructions. Its integration with digital tools, such as Google Search, empowers robots to dynamically access information and adjust to new contexts in real time.


Enabling General-Purpose Robotic Intelligence

Many everyday chores, like sorting recyclables or folding laundry, require nuanced understanding, flexible planning, and real-world adaptation. By combining Gemini Robotics-ER 1.5’s strategic reasoning with Gemini Robotics 1.5’s precise execution, robots can now:

  • Search and apply contextual information from the web to inform their actions.

  • Explain their reasoning in natural language, making their decisions transparent and easier to debug.

  • Break down complex requests into manageable steps, adapting as new challenges arise.

This synergy marks a shift toward robots that are not only obedient but also genuinely intelligent and adaptable in unpredictable environments.

Cross-Embodiment Learning: One Model, Many Robots

A major breakthrough lies in Gemini Robotics 1.5’s ability to learn across different robotic bodies. Instead of retraining for every unique machine, the model transfers skills and motion patterns between platforms. Demonstrations have shown seamless transfer from the ALOHA 2 robot to others like the humanoid Apollo and bi-arm Franka, enabling rapid, scalable deployment of versatile robots beyond the lab.


Prioritizing Safety and Responsible AI

With advanced intelligence comes the responsibility to ensure safety and ethical operation. Google DeepMind’s Responsibility & Safety Council and Responsible Development & Innovation teams are integral to the process, working to align these models with Google’s AI Principles. Gemini Robotics 1.5 is designed with semantic safety checks, respectful human interaction protocols, and built-in safeguards against collisions and errors.

The upgraded ASIMOV benchmark subjects these systems to rigorous safety and ethical evaluations. Notably, Gemini Robotics-ER 1.5 has achieved state-of-the-art results in these tests, supporting its suitability for deployment in human environments.

Laying the Foundation for Physical-World AGI

By moving beyond simple command-following, Gemini Robotics 1.5 brings us closer to Artificial General Intelligence (AGI) capable of reasoning, planning, and tool use in the physical world. This leap promises robots that are not only more capable but also more transparent, accountable, and safe as collaborators in our daily lives.

The research community is encouraged to explore these advancements further. Developers can access Gemini Robotics-ER 1.5 via Google AI Studio, with broader access to Gemini Robotics 1.5 coming soon through select partnerships. The future of robotics is bright and increasingly collaborative thanks to these groundbreaking models.

Conclusion

Gemini Robotics 1.5 and Robotics-ER 1.5 set a new standard for AI in the physical world. Their combination of advanced reasoning, transparent planning, cross-embodiment learning, and robust safety protocols paves the way for a new generation of intelligent, trustworthy, and highly useful robots.

Source: Google DeepMind Blog


Gemini Robotics 1.5: Transparent, Adaptable AI Agents
Joshua Berkowitz September 27, 2025
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