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Comau Integrates Nvidia Jetson, Isaac Sim and Isaac Lab Across Robot Portfolio

Daily briefingElena PetrovaOct 27, 2026· 1,804 views

Comau is embedding Nvidia edge compute and simulation tooling into its controllers and robots, using physics-based virtual training to speed deployment of AI-driven automation.

Comau is integrating Nvidia technologies across its product portfolio and design processes to accelerate development of AI-enabled robotics for industrial applications. The collaboration combines Comau's robotics experience with Nvidia physical AI simulation libraries and accelerated computing, targeting more intelligent and autonomous robotic systems.

Key takeaways

  • Next-generation Comau industrial robot controllers will be powered by Nvidia Jetson edge compute, providing the computing headroom for demanding AI workloads and more adaptive, autonomous robot behavior.
  • Comau's industrial, collaborative and mobile robot portfolio is being integrated into Nvidia Isaac Sim, the open-source robotics simulation framework built on Nvidia Omniverse libraries for testing and synthetic data generation.
  • Comau is contributing SimReady OpenUSD robot assets to the SimReady Central Library on Hugging Face, helping developers discover and reuse validated assets and cut preparation time for building and testing applications.
  • Nvidia's simulation and AI libraries support vision-based applications and control-strategy optimization for intralogistics equipment, including training AI models for Comau's MI.RA vision system family and applying reinforcement learning to palletizing and depalletizing tasks.
  • Using Isaac Sim's high-fidelity physics, Discrete Event Simulation for logistical workflows and Isaac Lab's learning capabilities, Comau builds precise virtual models to train AI-driven control strategies before factory-floor deployment.

Andrew Lloyd, chief engineering officer of Comau, said the combination of Nvidia Physical AI simulation libraries and accelerated computing with Comau's platforms and automation expertise will help develop intelligent solutions faster and make advanced automation easier for customers globally to deploy. Paolo Guglielmini, vice president EMEA at Nvidia, said simulating, training and validating robotic applications before deployment helps manufacturers accelerate adoption of AI-powered automation. For manufacturers, the approach points to shorter validation cycles and lower-risk rollout of AI-driven robotics.

Source: Robotics & Automation News · Published 2026-10-26T23:06:30 · “Comau integrates Nvidia technology to accelerate development of AI-powered robots”