Champion Use Case

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Customer Overview

A robotics company wants to speed up automation in factories and warehouses. They build custom robotic arms for pick-and-place tasks, but the workflow is slow and fragmented. Engineers are expected to design end-effectors in CAD, plan the cell layout, and deliver both in parallel—often without clear integration between design and simulation.

💡 Project: Consolidating multiple engineering tasks into a single, repeatable workflow.

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

🔥 Challenges:

When arranging a robotic workcell, the company faces a high number of design iterations due to the complexity of aligning CAD models, tool geometry, and workspace constraints. Because simulation trails behind design, issues like collisions, reach limitations, or misaligned tool orientations aren’t caught early.

• ❌ Setting up complex cells require early-on simulation.
• ❌ Data for different projects are scattered.
• ❌ Scaling AI feels like too much work

🔧 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.

• 🔮 Predict the outcome with GPU accelerated dataflow.
• 🧠 Analyze failures or inefficiencies.
• 🛠️ Simulate tasks directly from CAD
• 🔁 Discover and reuse components

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