Chef uses AI to discern where to pick ingredients from and where to place them. The more data our AI models ingest, the better their performance becomes. This video is a good visual demonstration of how our software works!
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Chef Robotics
288 posts
Chef Robotics
@ChefRobotics
Empowering humans to do what humans do best. We're hiring: chefrobotics.ai/careers
- Chef systems use computer vision to figure out where to pick ingredients from. This animation is a good demonstration of this process. The system scans a hotel pan filled with food to gauge volume and distribution, and tells the robot arm where to grab from. The robot arm then
00:00 - Today is a big day at Chef! Announcing the Chef Robotics AI-enabled robot to help food companies overcome their labor shortage!
00:00 - This is an example of what Chef systems can look like in a production environment. Here, six robots are being utilized to assemble two different meals across production lines.
00:00 - Food is inherently variable. An ingredient will never be prepared exactly the same way twice, as the way food is grown, stored, cut, etc. varies slightly each time.
00:00 - The more robots we deploy in production environments, the more real-world data we collect. Our robots essentially act as data ingestion engines, feeding our AI models data points that fuel them to become ever the more intelligent and autonomous. This flywheel effect is one of
00:00 - Placing small portions of ingredients accurately can be a challenge. In this video, Chef is consistently picking chives at 0.5 grams and then placing them onto a tray while spreading them. Through AI policies per ingredient class and a library of utensils, Chef systems can
00:00 - Curious what Chef's systems look like in action? Here we're at our customer Intelligent Foods, Inc.'s facilities assembling meals consisting of early finger foods for young eaters.
00:00 - We are excited to share that we will be hosting an event for @a16z's #SFTechWeek! Join us on Thursday 10/10 at 6 pm for a special happy hour at our headquarters and find out what it really takes to scale AI-enabled robotics. Check out the event details and RSVP here:🎉 Big news! The official calendar of events for #SFTechWeek and #LATechWeek is now LIVE! And thrilled to announce that this is officially our BIGGEST Tech Week, ever! - 850+ events 🤯 - San Francisco: Oct 7-13 🌉 - Los Angeles: Oct 14-20 🌴 Link to register below to see all
00:00 - Thanks IEEE Spectrum for covering our story!Food prep is a predictable and repetitive task—so it should be a no-brainer for robots, right? Not exactly, as plenty of robotics companies have learned over the years. But now Chef Robotics has the hindsight of 20 million meals and a way forward. spectrum.ieee.org/chef-robotics-…
- Thank you @automationworld for featuring us on the cover of your September issue! Check out the story on how we're helping our customer Amy's Kitchen improve product consistency, reduce food giveaway, and increase labor productivity: automationworld.com/process/roboti…
- Our founder @rajatbhageria will be a panelist at @thespoontech's Food AI Summit on September 25th at UC Berkeley! He will be discussing strategies for building AI-powered robotics for commercial markets, early lessons, how Chef is incorporating AI to build better robotic
- Today, we're releasing our newest feature: Placement QA! Placement QA utilizes computer vision to track meal containers on a production line, capturing un-occluded images before and after food is plated within them. This means that food companies can now retain imagery data on
- Replying to @ChefRoboticsAnd a couple more podcasts: - The Audrow Nash Podcast: youtube.com/watch?v=nHDoVa… - The Spoon Podcast: thespoon.tech/chef-robotics-…
