Build Reasoning Agents For Physical AI | Cosmos Labs

​Learn how to apply Cosmos Cookbook recipes for physical AI reasoning using Cosmos Reason in this hands-on technical deep dive.

​In this session, we explore how egocentric or first-person reasoning allows robots to understand social cues and physical laws, leading to safer and more natural human–robot interactions. We also show how fine-tuning Cosmos Reason with domain-specific data, such as heavy traffic, improves understanding in complex, dynamic environments. Similar methods can be used to filter synthetic data and build visual–language agents for real-world industrial applications.

​We’ll wrap up with a walkthrough of the Video Search and Summarization blueprint, showing how video analytics AI agents can search, summarize, and act on live or recorded video streams.