Real-world robot data is expensive and slow to collect, creating a major challenge for humanoid development. 🤖 The NVIDIA GR00T N1.6 open vision language action model is pre-trained on a diverse mix of data, including thousands of hours of Stanford Vision and Learning Lab’s BEHAVIOR simulation data, which covers long-horizon everyday manipulation tasks. This diverse training is the key to robust cross-embodiment performance and real-world adaptability. 🌍 Read the blog 🔗 https://nvda.ws/4q3Kn9

China has unveiled it's latest full-size, high-performance humanoid robot, the T800, on December 2. From breakthrough batteries to real-world applications, the new model highlights China's rapid progress in robotics and its drive toward an intelligent, automated future. | CGTN