Google DeepMind has unveiled Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, two AI models designed to help robots handle multi-step, real-world tasks. By enabling robots to search the web, plan with context, and act on new information, these models mark a breakthrough in embodied intelligence. For example, robots can now sort recycling based on local laws or pack bags using live weather data. This development brings AI closer to practical daily use, highlighting a global race to merge software with robotics. For countries investing in smart infrastructure, including Saudi Arabia, the models represent opportunities for industrial automation, logistics, and public services.
Google DeepMind has unveiled Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, two AI models designed to help robots handle multi-step, real-world tasks. By enabling robots to search the web, plan with context, and act on new information, these models mark a breakthrough in embodied intelligence. For example, robots can now sort recycling based on local laws or pack bags using live weather data. This development brings AI closer to practical daily use, highlighting a global race to merge software with robotics. For countries investing in smart infrastructure, including Saudi Arabia, the models represent opportunities for industrial automation, logistics, and public services.