Google DeepMind Ships Three Physical AI Models For Whole Body Control, Dexterity And Multi Robot Collaboration
Google DeepMind launched Gemini Robotics 2, a suite featuring three models for whole body control, embodied reasoning, and rapid robot adaptation.
- DeepMind released Gemini Robotics 2 with three specific models for physical tasks.
- The suite includes a VLA for humanoid control and an on-device model for rapid hardware adaptation.
- Only the ER 2 reasoning model is publicly available at this time.
- The system has been tested on Apptronik Apollo 2 and Franka Duo hardware.
Google DeepMind has introduced Gemini Robotics 2, positioning it as the intelligence layer for the next generation of robotic systems. This release includes three distinct models designed to advance physical AI capabilities in complex environments.
The suite features a vision-language-action model for whole body humanoid control and an embodied reasoning model named Gemini Robotics ER 2 for task orchestration. A third on-device VLA model allows robots to adapt to new physical bodies within a matter of hours, significantly speeding up deployment times.
Current implementations include checkpoints that drive the Apptronik Apollo 2 and a Franka Duo robot. While the system represents a significant step forward for multi-robot collaboration, only the ER 2 model is currently available to the public.
Access to ER 2 allows for experimentation with advanced task orchestration and reasoning in physical environments.
Advances in rapid adaptation reduce the time and cost to deploy robots across different hardware platforms.
This moves the field closer to general purpose robots that can handle diverse physical tasks.
- VLA
- Vision-Language-Action models that process visual and language inputs to generate physical robot control commands.
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