BlockBeats news, on June 1, NVIDIA announced at the GTC conference in Taipei that it has selected Chinese robotics company Unitree Robotics as its first partner for a humanoid robot AI platform targeted at universities and research institutions. The platform integrates Unitree’s H2 humanoid robot with NVIDIA’s Jetson Thor computing platform, Isaac GR00T humanoid robot AI models, and simulation software, and is now available to research institutions such as Stanford University and ETH Zurich.
NVIDIA CEO Jensen Huang stated that the platform aims to lower the barrier to humanoid robotics research by integrating robotics hardware, AI models, data generation, and simulation toolchains to provide researchers with a ready-to-use development environment. He believes that, following generative AI, "physical AI" will be the next stage in the evolution of artificial intelligence.
According to available information, the Unitree H2 robot stands approximately 1.8 meters tall and is equipped with NVIDIA Jetson Thor chip and Blackwell GPU, enabling direct AI model execution on the robot. The platform also integrates a dexterous hand system provided by Singapore-based robotics hand manufacturer Sharpa.
NVIDIA stated that the upgraded H2 Plus robot is expected to be available for public purchase in October this year. Early adopters of this platform include the Stanford Robotics Center, ETH Zurich, the Advanced Robotics Laboratory at the University of California, San Diego, and the U.S. artificial intelligence research institute Ai2.
Notably, this partnership comes as Unitree Technologies is preparing to enter the capital markets. According to public information, Unitree Technologies plans to launch an IPO on the STAR Market of the Shanghai Stock Exchange, aiming to raise RMB 4.2 billion. The company has disclosed that over 40% of its revenue already comes from markets outside China.
Jensen Huang previously stated that robots are expected to be one of NVIDIA's largest growth opportunities over the next five years, and he anticipates the market size for "physical AI" could reach tens of trillions of dollars in the future.