Champion Use Case

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Customer Overview

A robotics company is upgrading its simulation tools to deploy automation faster in factories and warehouses. Their team builds custom robotic arms and pick-and-place systems, but struggles to scale AI and simulation workflows due to fragmented tools, costs, and manual coding.

• 🏭 Segment: Industrial Automation / Robotics Integrator
• 🛠️ Specialty: Robotic Arms, Pick-and-Place Automation
• 👥 Company Size: ~100 engineers across North America and Europe
• 🔄 Project:

🔥 Projects: Creating a repeatable workflow that turns CAD files into 3D scenes ready for vision AI—enabling synthetic data generation, rapid testing, and AI-assisted scene setup across customer deployments.

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Challenges:

These teams face common blockers that slow down AI adoption in robotics and simulation:

• ❌ Complex CAD files that aren’t ready for simulation
• ❌ Manual data prep instead of automated, AI-friendly workflows
• ❌ Limited infrastructure to run modern AI tools or services

🔧 The Solution

Engineers Can Skip ROS (Early On):

With CAD, AI-powered tools like Cosmos and USD Code let you simulate robotic control systems—no coding or ROS setup required. You get early validation of tasks like pick-and-place directly from simulation, speeding up iteration before any hardware integration.

• Analyze What Happened
• Recommend Fixes
• Loop Back Into Simulation

Champion connects your project data to AI models that understand simulation tasks like an engineer.

1. Start from CAD files—no need to build control stacks yet
2. Use AI agents (Cosmos) to understand and simulate tasks
3. Generate USD code for physics and joint control—no manual scripting
4. Skip ROS setup until you're ready for hardware integration

💡 Automated Dataset From CAD