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Google DeepMind — Robotics·· 66 days agoSignalEditorial score88

Gemini Robotics ER 2: Powering Robotics with Video Understanding, Task Orchestration, and Multi-Robot Collaboration

Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration

Summary

Google DeepMind has launched Gemini Robotics ER 2, a new model that enhances robotics through video understanding, task orchestration, and multi-robot collaboration. It enables robots to perform complex tasks, adapt in real-time, and work together in shared environments. The model also improves safety and spatial reasoning capabilities, with performance benchmarks showing significant gains over previous versions.

Editorial context

Google DeepMind's Gemini Robotics ER 2 introduces a significant advancement in embodied reasoning for robotics, integrating video understanding, task orchestration, and multi-robot collaboration. It outperforms its predecessor in tool orchestration and safety benchmarks, enabling more robust and adaptive physical AI systems.

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

No manual editorial approval recorded.

Original source quotation: “Gemini Robotics ER 2 represents a step change in powering robots with video understanding, task orchestration, and multi-robot collaboration — making it possible for robots to be more helpful in the physical world.”

Source E1

Original source quotation: “Gemini Robotics ER 2 can also natively call tools like Google Search to find information, or any other user-defined function.”

Source E2

Original source quotation: “Gemini Robotics ER 2 consistently outperforms ER 1.6 for tool orchestration across three control modes: real VLA, sim VLA, and human tele-op.”

Source E3

Original source quotation: “Gemini Robotics ER 2 achieves 57.4% accuracy on progress classification tasks, outperforming previous generation models and competing frontier models.”

Source E4

Original source quotation: “Gemini Robotics ER 2 achieves 91.3% accuracy and a 0.96s mean absolute distance.”

Source E5

Original source quotation: “Gemini Robotics ER 2 outperforms ER 1.6 and other frontier models on Safety Instruction Following and Human Proximity benchmarks.”

Source E6

Source:Google DeepMind — Robotics · deepmind.google