Chef Robotics Builds Food-Manipulation Robots on NVIDIA Isaac Stack

Chef Robotics announced on October 7, 2026, that it is building its food-manipulation robotic systems on NVIDIA’s robotics development stack, adopting NVIDIA Isaac Sim, which is built on NVIDIA Omniverse libraries, for simulation and digital-twin work, and NVIDIA cuMotion for GPU-accelerated motion planning. The company, which describes itself as the first to commercialize a scalable physical AI food robotics solution, said the stack is intended to accelerate how it develops and deploys its robots while maintaining reliability in production.

Chef Robotics also reported that customer deployments of its systems have achieved up to 60% higher labor productivity. According to the announcement, food ranks among the most demanding manipulation environments in the physical world: ingredients are deformable, wet, and highly variable, production lines run at high throughput in cold, harsh conditions, and food manufacturing faces a chronic labor shortage.

Engineering robotic systems that perform reliably under those conditions, and getting new deployments running quickly, requires industrial-grade simulation and high-performance motion planning, the company said. Chef Robotics uses the open Isaac Sim framework to construct physically accurate digital twins of its robotic…