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Google DeepMind’s AI enables robots to perform physical tasks without prior training | AI Anchor Sana | AI SanaGoogle DeepMind is introducing two new AI models to help robots handle a wider variety of real-world tasks. The first, called Gemini Robotics, is a smart system that can understand new situations, even if it hasn’t been
Google DeepMind introduced Gemini Robotics and Gemini Robotics-ER, two formidable AI systems with the potential to revolutionize robotics with impressive vision, language, and action abilities. Built on Gemini 2.0, the systems enable robots to process natural language instructions, learn from dynamic environments, and perform complex physical tasks with incredible precision. In partnership with Apptronik, Boston
Master AI avatars, video automation, AI graphics, and monetization 👉👉🔗 https://www.skool.com/aicontentlab/about 🚀 New content added monthly! AI robots are advancing rapidly, with a humanoid bot lunging at a crowd in China, AI systems inventing their own secret language, and machines learning at unprecedented speeds. In a Tesla factory, a robot reportedly pinned an engineer, while
Google’s RT-2, an innovative Robotics Transformer AI, bridges the learning gap between humans and robots by understanding web text and images, and translating them into real-world robotic actions. With its advanced Vision-Language-Action (VLA) model, RT-2 can swiftly adapt to new tasks and situations, outperforming other robotic models. This breakthrough could revolutionize the growing $44.6 billion
Sanctuary AI has partnered with Microsoft to accelerate the development of advanced AI and AGI technologies in robotics, using Microsoft’s Azure to enhance their Large Behavior Models. This collaboration aims to push the boundaries of what robots can do, making them more human-like in terms of learning and functionality. The latest generation of Sanctuary AI’s
MIT researchers, in collaboration with Meta, have developed a groundbreaking “AI Robot Brain” called Heterogeneous Pre-trained Transformers (HPT) that enables robots to handle multiple tasks across different environments without extensive retraining. By integrating diverse data sources like human demo videos, simulations, and robotic inputs, this universal robot brain can learn and adapt quickly, similar to
Unitree’s G1 humanoid robot has received major upgrades, showcasing advanced agility, smooth motion, and human-like adaptability in tasks like walking, welding, and Kung Fu. With cutting-edge features like Posemesh for real-time coordination and ElizaOS for emotional intelligence, these AI robots demonstrate groundbreaking advancements in robotics, from collaborative teamwork to lifelike interactions. Projects like Eliza Wakes
