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Home Press Releases Press Releases - Food & Drink

Chef Robotics Physical AI Models Can Now Help Automate Meatpacking

Cision PR Newswire by Cision PR Newswire
April 9, 2026
in Press Releases - Food & Drink
Reading Time: 3 mins read
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SAN FRANCISCO, April 9, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for meatpacking by assembling pieces of meat onto trays before packaging. The application handles raw, frozen, and precooked proteins such as pork loin fillets, chicken breasts, steaks, lamb chops, bratwursts, and sausage links.

Watch Chef robots in action

Tray assembly for meatpacking tasks has historically been difficult to automate. Unlike sauces, grains, or chopped vegetables, pieces of meat are irregular, deformable, and highly variable in size. A frozen chicken breast, for instance, behaves very differently from a fresh pork loin. This variability has made it challenging for automation systems to reliably handle proteins at production speeds, leaving food manufacturers dependent on manual labor.

To address this, Chef built its meatpacking application on its existing piece-picking capability, leveraging Chef’s AI and computer vision system trained on large volumes of data covering the visual appearance, physical properties, and handling characteristics of different protein types. This enables Chef robots to make real-time decisions about how to grasp each piece of meat and where to place it on the tray.

The meatpacking application introduces three distinct capabilities. First, because pieces of meat can sit at any angle in the pan, Chef’s vision system detects each piece’s orientation and reorients it mid-motion to place it at the exact angle required on the tray, regardless of its original position. Some SKUs, for example, require pieces to be placed at a 90-degree angle to achieve a consistent, retail-ready presentation. Second, Chef robots can complete it in a single automated pass without manual intervention. Third, since pieces need to be consistently spaced and evenly arranged across every tray, Chef’s vision system identifies the tray’s center and calculates predefined offsets for each piece, ensuring a uniform arrangement.

For food manufacturers, the meatpacking application offers higher throughput, lower labor dependency, and consistent portion presentation across shifts without requiring changes to existing production line infrastructure.

Chef’s meatpacking capability 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 101 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.

Cision View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-help-automate-meatpacking-302738484.html

SOURCE Chef Robotics

Cision PR Newswire

Cision PR Newswire

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