Simulation of the SCHUNK GROW automation cell in NVIDIA Omniverse: Virtual models realistically map gripping and motion sequences to test processes in advance and speed up commissioning in production.
With the GROW automation cell, SCHUNK brings together its expertise and many years of experience in designing clamping and automation processes. Instead of custom one-off solutions, the focus is on a scalable modular system that makes intelligent robotics applications available as technically robust, repeatable production building blocks.
A key component of the cell is the simulation-first approach: processes are prepared digitally before they run on the real system. By integrating NVIDIA Omniverse libraries and the NVIDIA Isaac simulation framework into SCHUNK’s simulation pipelines, robot motions, gripping processes, and entire sequences can be modeled, trained, and validated virtually. This reduces risk, shortens commissioning, and enables a stable start-up. To move from the digital model to real execution, software-enabled workflows come into play. Platforms such as Wandelbots NOVA show how simulated processes can be transferred into operations and then continuously optimized. The GROW automation cell provides the reliable physical foundation needed for AI- and software-driven automation to perform sustainably under real production conditions.
The example makes it clear: SCHUNK does not see Physical AI as a distant vision of the future, but as an industrial development path shaped together with partners. The GROW automation cell makes that partnership tangible—as a standardized platform that brings technologies together and simplifies customers’ path to intelligent automation step by step.