Power the future of robotics with Gemini
Google DeepMind launches Gemini Robotics ER 1.6 for spatial reasoning in physical robots
“We aren't just teaching machines to see the world, but we're enabling them to perceive it with advanced spatial awareness and understanding.”
Google DeepMind announced Gemini Robotics Embodied Reasoning (ER) 1.6, a vision-language model fine-tuned on robotics data for spatial reasoning and object localization. Unlike general LLMs, it serves as the 'logic unit' for robot systems navigating unstructured environments. The model is accessible via Python SDK, signaling Google's push to make foundation models the backbone of physical AI agents.