Comau is integrating NVIDIA computing and simulation technologies into its industrial robotics portfolio, as the Italian automation company develops systems designed to run more advanced AI applications.
The collaboration will see NVIDIA Jetson Edge computing incorporated into Comau’s next-generation industrial robot controllers, while its industrial, collaborative and mobile robots will be integrated into NVIDIA Isaac Sim, a robotics simulation environment used for testing applications and generating synthetic training data.
Comau is also using NVIDIA’s software tools to develop vision-based applications and optimise control strategies for intralogistics equipment, including palletising and depalletising systems.
The work includes training AI models for Comau’s MI.RA machine vision systems and using reinforcement learning to develop robotic control strategies. Simulated environments combining physics-based modelling and discrete event simulation allow the company to test robot behaviour and logistical workflows before deploying them on factory floors.
Comau is also contributing SimReady OpenUSD robot assets to the SimReady Central Library on Hugging Face, where developers can discover and reuse digital assets for robotics development.
Andrew Lloyd, Chief Engineering Officer at Comau, said the combination of NVIDIA’s simulation libraries and accelerated computing with Comau’s robotics platforms would help the company develop solutions faster and make advanced automation easier to deploy across different industries.
Paolo Guglielmini, Vice-President EMEA at NVIDIA, said simulation and training would help manufacturers validate robotic applications before deployment.
The collaboration reflects growing interest in Physical AI, which applies AI models to systems that interact with the physical world. For industrial manufacturers, simulation offers a way to train and test robotic applications before introducing them into production, although the benefits will depend on how reliably simulated performance transfers to real operating conditions.
