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Sick Expands Its Digital Portfolio With New Sensor Models

Validated sensor models for simulation in the OpenUSD format, assisted by NVIDIA technologies

Quality Digest
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Thu, 10/30/2025 - 12:02
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(SICK: Minneapolis) -- Having provided more digital sensor models of 2D and 3D LiDAR sensors, safety scanners, and camera sensors in the universal scene description data (OpenUSD) format, SICK is opening up new possibilities for virtual engineering with NVIDIA technologies, as well as for the practical simulation of sensor-based applications under realistic conditions.

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This expansion of the digital portfolio of autonomous perception solutions enables integration into the latest NVIDIA Isaac Sim 5.0—an open source framework for robot simulations based on the NVIDIA Omniverse libraries. This offers SICK’s customers even more flexibility and possibilities for testing sensors as digital models in virtual-use environments. Functions can be checked and optimized before the physical hardware is available, which can significantly accelerate the development and testing of new machines.

Furthermore, SICK’s expanded offering of virtual sensor models improves the performance of the systems and machines of its customers, which can lead to higher customer satisfaction and greater customer loyalty.

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