NVIDIA Omniverse
for Product Managers

Omniverse is just like ChatGPT API, you can build applications on it.

1

Simulation Only Loop

Train entirely in simulation

1

Setup

Isaac Sim 6.0

→
2

Train

Isaac Lab

→
3

Evaluate

Isaac Lab-Arena

Iterate until policy converges
2

Real World Data Collection Loop

Collect and augment real-world training data

1

Collect

UMI, MoCap, Teleop

→
2

Augment

Cosmos Transfer, NuRec

Model performance informs next collection
3

VLA Training Loop

Train vision-language-action models

1

Pretrain

NeMo, GR00T N1.6

→
2

Fine-tune

Cosmos Policy

→
3

Deploy

NIM Microservices

Real-world feedback improves model
4

World Model Training Loop

Train world foundation models

1

Predict

Cosmos Predict 2.5

2

Transfer

Cosmos Transfer 2.5

3

Reason

Cosmos Reason 2.5

4

Policy

Cosmos Policy

Generated data validates predictions
5

Sim-to-Real Loop

Bridge simulation to hardware

1

Sim Train

Newton, Isaac Lab

→
2

Real Test

Hardware Deploy

→
3

Analyze

Gap Analysis

Refine simulation parameters
6

Deployment Loop

Scale from prototype to fleet

1

Deploy

Jetson, AGX

→
2

Monitor

Fleet Metrics

→
3

Improve

OSMO, Retrain

Fleet data drives continuous improvement
TheRobotSimGuy

About

Simulation for Robotics Growth Lead

Helping robotics teams understand how NVIDIA Omniverse accelerates their development workflow from simulation to deployment.

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