Google DeepMind is l aunching two new AI models designed to help robots “perform a wider range of real-world tasks than ever before.” The first, called Gemini Robotics, is a vision-language-action model capable of understanding new situations, even if it hasn’t been trained on them.

Google DeepMind's Gemini Robotics models are designed to enable real-world machines to interact with objects, navigate environments, and more.

Unlike traditional generative AI that produces text and images, these new models focus on translating AI capabilities into physical action commands that control robots. This represents a significant evolution in how AI can interact with and manipulate the physical environment around us.

Google DeepMind’s new AI models are pushing robots closer to real-world intelligence, enabling them to think, interact, and act with greater dexterity.

Google has developed an AI model that gives humanoids and other robots more intelligence—and a tool designed to give them a moral compass too.

Google DeepMind launches robot AI that can figure out how to ‘slam dunk’ - Gemini integration allows humanoid bots to be home assistants without any training

Alphabet's Google launched two new AI models tailored for robotics applications on Wednesday based on its Gemini 2.0 model, as it looks to cater to the rapidly growing robotics industry.

Google's DeepMind unveils a new Gemini model, enabling robots to understand the physical world around them. Bloomberg's Mark Gurman joins Jackie Davalos and Sonali Basak on "Bloomberg Technology" to discuss.

Google DeepMind has released a new model, Gemini Robotics, that combines its best large language model with robotics. Plugging in the LLM seems to give robots the ability to be more dexterous, work from natural-language commands,