Introducing Generative Physical AI

Title: Introducing Generative Physical AI from NVIDIA

Step-by-step Tutorial:

1. Understanding Generative Physical AI: Generative Physical AI is a technology that enables robots to autonomously perform complex tasks in the real world by understanding instructions and learning from physical feedback.

2. Multimodal LLMs: These are breakthrough models that allow robots to learn, perceive, and understand the world around them using gross and fine motor skills.

3. Reinforcement Learning: Reinforcement learning is a crucial technology for advancing robotics. It allows robots to learn specific skills by receiving feedback, either from humans or from physics, in a simulated environment.

4. Simulation Environments: Robots learn in simulation environments where they make decisions and perform actions in a virtual world that follows the laws of physics. This allows them to refine their skills through millions of trials and errors.

5. NVIDIA Omniverse: NVIDIA Omniverse serves as the operating system where physical AI systems can be created. It is a development platform for virtual world simulation that combines real-time rendering, physics simulation, and generative AI technologies.

6. Training and Running Models: Building robots with generative physical AI requires three components:

   • NVIDIA AI supercomputers for training the models
   • NVIDIA Jetson Orin and Next Generation Jetson Thor robotic supercomputers for running the models
   • NVIDIA Omniverse for robots to learn and refine their skills in simulated environments

7. Learning in Omniverse: Robots in Omniverse learn how to autonomously manipulate objects with precision, navigate environments, and perform complex tasks safely and quickly.

8. Minimizing Sim-to-Real Gap: Learning in Omniverse helps to minimize the gap between simulation and real-world applications, maximizing the transfer of learned behavior to physical robots.

9. Building Robots with Generative Physical AI: NVIDIA provides platforms, acceleration libraries, and AI models for developers and companies to build robots powered by generative physical AI. Users can choose the components that best suit their needs.

10. Impact on Industries: The era of robotics powered by physical AI is here, and it is expected to revolutionize various industries by enabling robots to perform tasks autonomously and efficiently.

By following these steps, you can gain a better understanding of generative physical AI and its impact on the future of robotics.