Training Lab Overview

Join this workshop to learn a repeatable methodology, co-created with a special agent that understands a specific set of skills to operate the entire pipeline. Rather than learning five separate simulation and ML tools, each participant will have access to a dedicated HP ZGX Nano AI Station—a personal AI supercomputer.

The instructor will guide attendees through a robotic automation workflow for a hospital to see how to set up a simulation environment, compose a digital twin of the hospital, and capture expert workflow data to generate synthetic variations. Then participants will train or fine-tune a physical AI policy, and validate the workflow with an agent-first approach before real-world deployment.

Note: Content and deck updates are still being finalised with the featured presenters and will be shared as soon as available.

Training Lab Agenda:

Welcome and Training Lab Setup

• Introductions and check access, environment assumptions, and the agent-first goals for Isaac for Healthcare.

Isaac for Healthcare Overview

• See how the Rheo blueprint within Isaac for Healthcare leverages agent-ready, skill-based development for hospital automation scenarios. Understand how Project Rheo turns hospital spaces and workflows into sim-ready, trainable digital environments.

Hands-on Lab

• Set up the simulation environment, import robot and rigging, perform data collection/multiplication/augmentation, implement policy training.