Picking objects out of clutter is where we excel at. We create robotic systems that can pick out of a jumbled mess of objects from standard warehouse totes and into cardboard boxes. Repeatedly. Reliably.
Our robotic systems aim to be robust in a large variety of scenarios. Thanks to our modular design we can design, test and improve on new capabilities quickly.
We create systems that are robust and reliable thanks to a tight integration of perception, action and learning. Our robots can operate autonomous in a variety of dynamic and challenging environments.
How it started
LYRO is building on the research the team developed in the Australian Centre for Robotic Vision (ACRV). It was spun out after the 2017 win of the Amazon Robotics Challenge by Team ACRV.
Amazon’s New Robo-Picker Champion Is Proudly Inhuman
It only needs to see seven images of a new object before it can reliably spot and grab it.
MIT TechReview Article