Covariant was founded in 2017 with a simple goal: helping robots learn how to better pick up objects. It’s a large need among those looking to automate warehouses, and one that is much more complex than it might appear. Most of the goods we encounter have traveled through a warehouse at some point. It’s an impossibly broad range of sizes, shapes, textures and colors.
The Bay Area firm has built an AI-based system that trains network robots to improve picks as they go. A demo on the floor at this year’s ProMat shows how quickly a connected arm is capable of identifying, picking and placing a broad range of different objects.
Co-founder and CEO Peter Chen sat down with TechCru …
