Google DeepMind teaches robots to act with RT-2
Google DeepMind just unveiled RT-2, a vision-language-action model that translates web data directly into robotic movements. Rather than relying on separate systems for reasoning and motor control, a single model now directs real-world tasks. In tests on novel, unseen scenarios, its success rate jumped from RT-1's 32% to 62%. Why it matters: General-purpose robots just took a major leap forward.