In a significant move to enhance the capabilities of humanoid robotics, Singapore’s Sharpa has teamed up with Nvidia and China’s Unitree to create an innovative humanoid robot platform. This collaboration, revealed by Nvidia’s Jensen Huang during his keynote at the Computex technology conference in Taipei, seeks to provide researchers with advanced humanoid robots by late 2026. The project is set to propel advancements in artificial intelligence focused on executing intricate and precise physical tasks.
The centerpiece of this initiative is the Nvidia Isaac GR00T H2 Plus humanoid robot. This system integrates Sharpa’s exceptionally dexterous robotic hands, Unitree’s H2 humanoid robot body, and Nvidia’s sophisticated AI computing technology. Designed to emulate the dexterity and tactile sensitivity of human hands, Sharpa’s robotic hands boast 22 degrees of freedom, enabling the execution of tasks requiring fine motor skills. The platform aims to facilitate research in fields such as precision manufacturing, healthcare support, food preparation, and cleaning, all demanding accurate object manipulation.
Beyond hardware, the platform offers access to Nvidia’s AI models, simulation tools, and software development resources, streamlining the training and testing of robotic systems. Industry experts view this project as a pivotal step in broadening the capabilities of humanoid robots while making advanced robotics research more accessible to educational and research institutions worldwide. Prestigious universities and research organizations in the United States and Europe are among the early adopters of this technology.
The announcement underscores a growing trend in “physical AI”—artificial intelligence systems built to interact with and function within the physical world. As AI continues to evolve, there is an increasing emphasis on developing humanoid robots that can address labor-intensive and precision-oriented tasks. This collaboration signifies the intensifying global competition to create practical humanoid robots that can seamlessly integrate into real-world environments alongside humans.