Nvidia's CEO, Jensen Huang, shared key updates at Computex 2024. He announced advancements in AI and robotics. These updates are set to transform how robots interact with the world.
One major highlight was the concept of digital twins. This involves creating virtual models of physical objects. These models help in the development of physical AI. Physical AIs can understand instructions and perform complex tasks. They are becoming smarter and more capable every day.
Robots now use multimodal large language models (LLMs) to learn. These models help robots perceive and understand their surroundings. Robots can see, hear, and plan their actions. They learn from human demonstrations. This means they can copy tasks humans show them. They use both gross and fine motor skills. Gross motor skills involve large movements, like walking. Fine motor skills involve small movements, like picking up an object.
Reinforcement learning is key to this progress. Just as LLMs need human feedback, physical AIs need physics feedback. In simulated worlds, robots practice tasks. These worlds follow the laws of physics. Robots perform actions and learn from the results. They refine their skills through trial and error. This helps them improve quickly and safely.
Nvidia Omniverse is vital for creating physical AIs. Omniverse is a platform for virtual world simulation. It combines real-time rendering, physics simulation, and generative AI. In Omniverse, robots can practice and learn autonomously. They learn to manipulate objects with precision. They also learn to navigate environments efficiently. They find optimal paths while avoiding obstacles.
Learning in Omniverse reduces the gap between simulation and reality. It ensures that skills learned in virtual worlds transfer well to the real world. Building robots with generative physical AI involves three key components. Nvidia AI supercomputers train the models. Nvidia Jetson Orin provides edge computing power. The next-generation Nvidia GPUs handle complex tasks.
These advancements mark a new era in robotics. Robots will soon handle tasks autonomously. They will assist in various fields, from healthcare to manufacturing. The future holds exciting possibilities for AI and robotics, driven by Nvidia's innovations.