Chef Robotics integrates NVIDIA Isaac platform in food-production automation systems. Chef Robotics is expanding its use of NVIDIA's robotics development technologies to support the design, simulation and deployment of automated food-manipulation systems. The San Francisco-based company is incorporating NVIDIA Isaac Sim, Omniverse libraries and cuMotion into its development processes to improve robotic motion planning and accelerate the deployment of systems in food-production facilities. Chef Robotics develops AI-powered robotic systems designed to handle food ingredients and automate production tasks. The company reports that customer deployments have achieved labor productivity improvements of up to 60%. The integration includes NVIDIA Isaac Sim, a robotics simulation framework built on NVIDIA Omniverse libraries. Chef Robotics uses the technology to create digital twins of robotic work cells and customer production lines, allowing engineers to design, simulate and validate system configurations before installing equipment in production facilities. These virtual environments enable the company to test robotic systems against different ingredients, containers, utensils and production-line layouts. The approach is intended to reduce the time required to configure and deploy robotic equipment while identifying potential operational issues before installation. Chef Robotics is also using NVIDIA cuMotion, a GPU-accelerated motion-planning library, to generate collision-free movement trajectories for robots operating in food-manufacturing environments. The technology supports tasks including individual ingredient picking, multi-deposit food assembly and coordinated operations involving multiple robots. Food-production automation presents technical challenges because ingredients vary in shape, texture and consistency. Robotic systems must also operate in production environments characterized by high throughput, variable product configurations and, in some cases, low temperatures. According to Chef Robotics, the combination of simulation and motion-planning technologies allows its engineering teams to evaluate robotic configurations virtually and adapt robot movements to different production requirements. Rajat Bhageria, founder and CEO of Chef Robotics, said the NVIDIA technologies are intended to support the company's development and deployment processes. "Building on NVIDIA's robotics stack lets our team move faster - designing, simulating, and validating systems in a virtual environment, then deploying them with confidence into real production facilities," Bhageria said. The company expects the use of digital twins and GPU-accelerated motion planning to shorten development cycles and support the deployment of robotic systems across a wider range of food-production applications.

Chef Robotics advances physical AI for food manipulation with the NVIDIA Isaac platform. Provided by Business Wire Oct 7, 2026, 9:00:00 AM Chef Robotics uses NVIDIA simulation, digital twin, and motion-planning technologies to scale food-production automation, with customer deployments achieving up to 60% higher labor productivity. Chef Robotics, the first company to commercialize a scalable physical AI food robotics solution, today announced it is building on NVIDIA's robotics development stack - including NVIDIA Isaac Sim, built on NVIDIA Omniverse libraries, and NVIDIA cuMotion - to accelerate the development and deployment of its food-manipulation robotic systems. Food is one of the most demanding manipulation environments in the physical world. Ingredients are deformable, wet, and highly variable, and production lines run at high throughput in cold, harsh conditions, all against the backdrop of a chronic labor shortage across food manufacturing. Engineering robotic systems that perform reliably in these environments - and bringing new deployments online quickly - requires industrial-grade simulation and high-performance motion planning. That is where NVIDIA technologies come in. Designing and validating robotic systems with NVIDIA Isaac Sim and NVIDIA Omniverse Libraries Chef Robotics uses the open Isaac Sim robotic simulation framework, built on Omniverse libraries, to build physically accurate digital twins of its robotic work cells and customer production lines. By designing, simulating, and validating new configurations in a virtual environment before deployment, Chef can engineer and stress-test robotic cells against the wide variety of ingredients, containers, utensils, and line layouts found across its customers' facilities - shortening the path from design to a working deployment on the plant floor. Accelerating motion planning with NVIDIA cuMotion Chef Robotics uses cuMotion, a GPU-accelerated motion-planning library, to generate fast, collision-free trajectories for its robots operating in cluttered, high-mix food production environments. This allows Chef's systems to plan and adapt motion efficiently across the enormous range of tasks its robots perform in production today - from piece-picking and multi-deposit assembly to coordinated multi-robot lines. "Food is one of the hardest manipulation problems in the physical world, and solving it requires both world-class AI and world-class engineering tools," said Rajat Bhageria, Founder and CEO of Chef Robotics. "Building on NVIDIA's robotics stack lets our team move faster - designing, simulating, and validating systems in a virtual environment, then deploying them with confidence into real production facilities. It's a key part of how we scale physical AI across the food industry." Isaac Sim and Omniverse libraries give Chef a physically accurate environment to design and validate our robotic cells before they ever reach the plant floor, and cuMotion lets Chef robots plan fast, collision-free motion in some of the most cluttered, high-variance environments in manufacturing. Together, these tools compress our development cycle and help Chef bring new deployments online faster, without compromising the reliability our customers depend on. About Chef Robotics Chef is the first company to have commercialized a scalable physical AI food robotics solution. With over 100 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more. The articles, information, and content displayed on this webpage may include materials prepared and provided by third parties. Such third-party content is offered for informational purposes only and is not endorsed, reviewed, or verified by Morningstar. Morningstar makes no representations or warranties regarding the accuracy, completeness, timeliness, or reliability of any third-party content displayed on this site. The views and opinions expressed in third-party content are those of the respective authors and do not necessarily reflect the views of Morningstar, its affiliates, or employees. Morningstar is not responsible for any errors, omissions, or delays in this content, nor for any actions taken in reliance thereon. Users are advised to exercise their own judgment and seek independent financial advice before making any decisions based on such content. The third-party providers of this content are not affiliated with Morningstar, and their inclusion on this site does not imply any form of partnership, agency, or endorsement.