Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.
Engineering & simulationFour Growers AI platformpicking faster than even a person can pick
The team used machine learning to build a custom data set and architecture that teaches the robot to understand plant concepts beyond physical characteristics, enabling it to determine ripeness and harvest tomatoes faster than a human.
“we've really created a data set and built our own architecture, really taught the AI to learn more than just physical characteristics of a plant, but to actually understand different concepts of that plant.”
Engineering & simulationTRI Large Behavior Modelstaught it 60 skills; hoping to have a 1000 skills by the end of next year
Toyota Research Institute used generative AI and diffusion models to learn dexterous manipulation skills from teleoperation demonstrations, allowing robots to acquire new skills in hours without hand-coding.
“TRI is doing is their AI policy is learning in the background, how to do that skill. They're claiming they can get these skills down in a matter of hours. … they've taught it 60 skills on their robots, they're hoping to have a 1000 skills by the end of next year.”
Engineering & simulationFour Growers AI platform1700000000 is spent in harvesting
The AI system analyzes real-time harvest data to predict yield levels (1-6 ripeness) per square meter, allowing growers to optimize logistics, scheduling, and pack house operations based on future availability.
“we're looking at all the tomatoes that are coming down the plant, and we're actually doing counts and providing back to the grower down to every square meter. Here are the number of kind of level 2 tomatoes you have … you can start to predict, you're harvesting and streamline the logistics.”