Amazon is utilizing the human-like Agility Robotics Digit robot.
Amazon distribution centers are rolling out two new robotic solutions, including one that looks and moves like a human being.
In a corporate blog post, Scott Dresser, VP, Amazon Robotics, highlighted Sequoia, a robotic system that can identify and store inventory up to 75% faster, which is operational at a fulfillment center in Houston. Dresser also discussed Agility Robotics Digit, a human-like robot being piloted at a facility near Seattle.
When orders are placed, Sequoia also reduces the time it takes to process an order through a fulfillment center by up to 25%, improving shipping predictability and increasing the number of goods it can offer for same-day or next-day shipping.
Sequoia integrates multiple robot systems to containerize Amazon’s inventory into totes, bringing together mobile robots, gantry systems, robotic arms, and a new ergonomic employee workstation.
The system works by having mobile robots transport containerized inventory directly to a gantry, a tall frame with a platform supporting equipment that can either restock totes or send them to an employee to pick out inventory that customers have ordered.
These totes come to employees at a newly-designed ergonomic workstation that allows them to do all their work between mid-thigh and mid-chest height. With this system, employees will no longer have to regularly reach above their heads or squat down to pick customer orders, supporting Amazon efforts to reduce the risk of injuries.
Digit
Amazon has also begun testing Agility Robotics Digit mobile manipulator solutions at its robotics research and development site south of Seattle. These are mobile robots which are built in a human-like shape that can move like a person while also grasping and handling items with robotic “arms” resembling a human.
The initial use for Digit will be to help employees with tote recycling, the repetitive process of picking up and moving empty totes once inventory has been completely picked out of them.
“Over the last 10 years, we’ve rolled out hundreds of thousands of robotics systems while also creating hundreds of thousands of new jobs within our operations,” Dresser said in the blog post. “This includes 700 categories of new job types, in skilled roles, which didn’t exist within the company beforehand.”
Amazon focuses on next-gen fulfillment center robotics
Amazon has been actively developing new, leading-edge robotic solutions for use in its fulfillment centers. The e-tailer says it has over 750,000 robots working collaboratively with its employees, taking on highly repetitive tasks.Fulfillment center robot models include the following:
Hercules
The proprietary Amazon robot model called Hercules helps warehouse employees by traveling around facilities to retrieve shelves of products and delivering them to employees, who then pick the items customers ordered for shipping.
Hercules can lift up to 1,250 pounds and travel across the 1 million square feet of Amazon’s largest fulfillment centers.
Sparrow
In November 2022, Amzazon rolled out “Sparrow,” a new intelligent robotic system that can detect, select, and handle individual products in its inventory. Leveraging computer vision and artificial intelligence (AI), Sparrow can recognize and handle millions of unique items for picking, stowing and packing before they are shipped – at scale.
Proteus
In June 2022, the company announced Proteus,” its first fully autonomous mobile robot.Proteus moves autonomously through Amazon’s fulfillment and sort facilities using advanced safety, perception, and navigation technology developed by Amazon. Amazon is initially deploying Proteus in outbound handling areas for GoCarts (manual wheeled package transports) in its fulfillment centers and sort centers.
Cardinal
In June, Amazon also introduced Cardinal, a robotic lifting arm that uses AI and computer vision to efficiently select one package out of a pile of packages, lift it, read the label, and precisely place it in a GoCart.
Leveraging Cardinal, Amazon says it can sort packages earlier in the shipping process with reduced risk of employee injury, resulting in faster process time in the facility. The company says shipping operations also run more smoothly because Cardinal converts batch-based manual work into continuous, automated work.
AR ID
Based on feedback from employees, the company created Amazon Robotics Identification (AR ID), an AI-based scanning capability with computer vision and ML technology to enable easier scanning of packages in supply chain facilities.
AR ID removes the manual scanning process by using a camera system that runs at 120 frames per second, and is designed to let employees can handle packages freely with both hands.
Containerized storage
Amazon’s Containerized Storage System determines which pod has the container with the needed product, where that container is located in the pod, how to grab and pull the container to the employee, and how to pick it up once the employee has retrieved the product.