
Covariant-enabled robots go live
Pieter Abbeel, the co-founder, president and chief scientist of the start-up Covariant, is featured in a number of articles appearing in major publications this week. The New York Times, the Wall Street Journal, Wired Magazine, the Verge, the MIT Technology Review, and the IEEE Spectrum all feature articles about robots trained using Covariant's AI technologies that will be deployed to perform complex tasks in live warehouse environments in the next few years. Covariant uses deep reinforcement learning techniques to train robots to distinguish between materials that are particularly difficult to discern through a lens, like highly reflective metallic surfaces, transparent plastics, and easily deformable surfaces like cloth and polypropylene, with an unparalleled 99% accuracy.
- New York Times: A Warehouse Robot Learns to Sort Out the Tricky Stuff
- Wall Street Journal: Smarter Delivery Hinges on Smarter Robots
- Wired: AI Helps Warehouse Robots Pick Up New Tricks
- The Verge: AI-powered robot pickers will be the next big work revolution in warehouses
- MIT Tech Review: AI-powered robot warehouse pickers are now ready to go to work
- IEEE Spectrum: Covariant Uses Simple Robot and Gigantic Neural Net to Automate Warehouse Picking