Google DeepMind Introduces Gemini AI Models to Advance Robotics Capabilities

The Gemini Robotics and Robotics-ER models enable robots to perform complex real-world tasks with improved reasoning, interactivity, and dexterity.

Gemini Robotics, based on Google DeepMind's Gemini 2.0, integrates vision, language, and physical actions to handle untrained real-world scenarios.
The Gemini Robotics-ER model allows developers to program robots with embodied reasoning for advanced spatial understanding and task execution.
Key advancements include improved generality, interactivity with humans and environments, and dexterity for precise physical tasks like folding paper or opening containers.
Google DeepMind is collaborating with companies like Apptronik, Agile Robots, and Boston Dynamics to test and implement these models.
Safety measures include a layered approach to evaluate actions in real-world scenarios, alongside new benchmarks to enhance AI safety research.