Waste Robotics uses FANUC robot arms, paired with its proprietary AI and gripper technology, to sort a variety of waste materials. It is also using Greyparrot’s AI to ensure its robots are being used at the most important parts of the waste sortation process. The combined product called the Robot Validator, allows Waste Robotics’ customers to know that they will be getting the most out of their robots from day one.
Waste Robotics specializes in the last mile of waste sorting. The added AI layer from Greyparrot uses cameras to track all the materials passing on conveyor belts and create real-time insights on a live dashboard.
The Robot Validator is a product that will help MRFs understand the impact robotics can have on their facilities. These facility managers working with us and Waste Robotics are not locked into a specific robot or robot provider before they see the data they need to inform their decision.
The partnership is helping Waste Robotics and Greyparrot grow from each other as the companies offer complementary technology. The ambition is to impact the waste management ecosystem.
In one Canadian materials recovery facility, the system identified significant recovery opportunities, detecting over 1,260 valuable objects per hour being lost to the residue line. Of these items, more than half were classified as highly valuable, and 90% were suitable for robotic recovery.
The Robot Validator allows Waste Robotics' customers to ensure that their robots are deployed in the right places. Greyparrot's AI helps robots identify and pick up a variety of items. This includes municipal solid waste, recyclables, metals, and construction and demolition.
Waste sorting is an ideal use case for robotics. It's repetitive, back-breaking work that involves handling a variety of materials. Waste Robotics said it specializes in this last mile of waste sorting. It wanted to ensure its customers were getting as much value from its robots as possible.
The Robot Validator is a product that will help MRFs understand the impact robotics can have on their facilities. Without gathering the data and analyzing it with AI ahead of robot implementation, MRFs lack visibility into waste flow composition.
Initial client feedback has been highly positive. In one Canadian materials recovery facility, the system identified significant recovery opportunities, detecting over 1,260 valuable objects per hour being lost to the residue line.
Waste Robotics and Greyparrot see many opportunities to grow from each other as the companies offer complementary technology. The combined AI from both companies becomes a real force in material recovery and waste sorting.