Chef Robotics Physical AI Models Can Help Automate Produce Packing
SAN FRANCISCO, April 22, 2026 /PRNewswire/ -- Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for produce packing. The application places discrete items, such as oranges, apples, and pears, into clamshell packages and snack boxes, and portions scoopable produce, such as corn and peas, into trays before packaging. These applications support retail grab-and-go products, airplane meal kits, hospital and care facility meals, and school lunch boxes.
Produce packing has historically been difficult to automate. Unlike grains or sauces, whole fruits and vegetables are rigid, irregular, and vary in size, surface texture, and placement in a bin. At the same time, these items are packaged in containers such as retail clamshells, snack boxes, and portioned meal trays, which require strict placement consistency and presentation quality. This variability has made it challenging for automation systems to handle produce items reliably at production speeds, leaving food manufacturers dependent on manual labor.
To address this, Chef built its produce packing application on two existing capabilities—piece-picking and scooping—depending on the ingredient. For discrete items such as whole fruits like oranges, apples, pears, and kiwis, the piece-picking capability uses AI-powered computer vision to assess each item's position, shape, and orientation in real time, enabling Chef robots to choose how to pick and place it precisely into the tray. For scoopable produce such as corn and peas, the scooping capability portions ingredients by weight and places them accurately using Chef's tray-tracking vision system. Both capabilities are built on Chef's physical AI models trained across diverse real-world production environments, allowing Chef robots to adapt to variability in how produce sits in the pan with no pre-sorting or fixed pan placement required.
The produce packing application introduces three distinct placement capabilities. First, Chef's camera system identifies the exact center of each tray or clamshell and uses it as a reference point for picking any item. Each item is deposited at a predefined offset from the center. For example, in a three-fruit arrangement, the robot places the first piece at the center, the second 10 centimeters to the left, and the third 10 centimeters to the right, ensuring every pack has a uniform, retail-ready layout regardless of how trays arrive on the conveyor. Second, Chef robots can place multiple pieces of produce into the same packaging container in a single automated pass, completing the full tray assembly without any manual intervention between picks. Third, for deep trays that require items to be stacked, Chef robots arrange produce in layers. For example, the robots can be configured to place four pieces across the bottom, then carefully stack four more on top, without damaging the layer below.
For food manufacturers, the produce packing application offers higher throughput, lower labor dependency, and consistent portion presentation across shifts. The capability runs on Chef's existing robotic hardware and software, allowing manufacturers to deploy it without making any infrastructure changes to their production lines.
Chef's produce packing application is available in the U.S., Canada, and the UK and is included as part of Chef's robotics-as-a-service (RaaS) pricing model.
About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 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.
SOURCE Chef Robotics
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