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How to Build Physical AI Agents - Natural Language for Real-World Robotics

AWS Events via YouTube

Overview

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Learn to build physical AI agents that respond to natural language commands by integrating cutting-edge robotics hardware with advanced AI models. Explore the evolution from text-based language models to Vision-Language-Action (VLA) models that understand sensor data and physical environments. Discover how to make physical AI development accessible using the same developer experience as digital agents. Follow a hands-on demonstration connecting an SO-101 3D printable robotic arm with a fine-tuned NVIDIA GR00T VLA model running on Jetson edge devices, utilizing Hugging Face LeRobot for seamless hardware integration and Strands Agents for intelligent orchestration through natural language interfaces. Gain practical insights into bridging the gap between digital AI capabilities and real-world robotic applications, enabling you to create sophisticated physical AI systems that can understand and execute complex tasks through intuitive natural language communication.

Syllabus

How to Build Physical AI Agents: Natural Language for Real-World Robotics

Taught by

AWS Events

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