This is one outlet's own report from Ars Technica — the article as it was filed. Other outlets are covering the same event; open the full story to compare every source side by side.
See the full story · 2 sourcesThis is one outlet's own report from Ars Technica — the article as it was filed. Other outlets are covering the same event; open the full story to compare every source side by side.
See the full story · 2 sourcesRobots powered by Google's Gemini AI models are now more capable. With the debut of Gemini Robotics 2 , these physical bots can now accomplish more complex tasks, continuously analyze changing environments, and collaborate with other robots. This is thanks to a trio of new sub-models, one of which is publicly available for developers starting today.
Videos of robots running, dancing, and backflipping have been a staple of the Internet for years, but these machines were programmed to perform these very narrow tasks. The goal of Gemini robotics is to create a generalist robot, one that can do anything a human could do. Google DeepMind scientists sometimes call this "physical AGI." Essentially, you tell a robot what to do, and it does it. With the 2.0 release, Google says its robotics AI can control an entire humanoid robot with improved dexterity, even for machines with complex humanoid hands.
Gemini Robotics 2 brings whole-body intelligence to robots.
This starts with Gemini Robotics ER 2, an upgraded "embodied reasoning" model that DeepMind claims is a significant leap over the previous 1.6 release . It's integrated with the Gemini Live API, giving developers the opportunity to experience that supposed leap forward.
Read full article
Comments
AIPROPX is an independent multi-source news index — we track, compare, and connect coverage from across the web into one place you won't find anywhere else.