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A robot tying is bigger than a robot doing a backflip. Google DeepMind just announced Gemini Robotics 2, extending its physical AI models beyond tabletop manipulation. The release comprises three models: a vision-language-action model that converts vision and language into motor control, an embodied reasoning model serving as a high-level planner, and an on-device version that adapts to new robot bodies in hours using fewer than 200 examples. For the first time, the system controls full humanoids rather than upper bodies alone, and enables different tasks like folding laundry, screwing in a light bulb, or powering a robot on Mars. Google DeepMind is basically building brains to power it all. They also built a new safety benchmark, Asimov's Three Laws of Robotics, who in 1942 wrote three laws for robots. 1. A robot may not injure a human being or, through inaction, allow a human being to come to harm. 2. A robot must obey the orders given it by human beings except where such orders would conflict with the First Law. 3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Law. So that means it can crouch down or reach things out on shelves, for example. If you want to stay in the loop with the latest in AI and robotics, follow for more!