Google DeepMind unveils Gemini Robotics 2 with whole-body control and multi-robot collaboration
Google DeepMind introduced Gemini Robotics 2, an AI model for robots that enables whole-body control from feet to fingertips, fine dexterity, and teamwork to handle complex tasks. The companion Gemini Robotics ER 2 model adds video understanding, tool orchestration, and multi-robot collaboration, marking a step change in robotic intelligence.
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Google DeepMind Blog
July 30, 2026 Models Carolina Parada From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for themselves or adapt to unpredictable environments. Moreover, transferring learned skills from one robot body to another remains incredibly difficult. To take on the hardest problems at scale, robots of every shape and size need AI models giving them the ability to think, act, and interact intelligently to safely complete tasks. We demonstrated how Gemini's multimodal understanding could drive real-world action with Gemini Robotics. Today, we are introducing Gemini Robotics 2 - the intelligence layer powering the next generation of
Gemini Robotics ER 2 helps robots reason, collaborate, and solve real-world tasks. It represents a step change in video understanding, tool orchestration, and multi-robot collaboration for robotic applications.