Consumers are getting spoiled—not only do they want movies on demand via digital networks, they also want physical things like books and diapers delivered almost as fast.
Amazon, which has fueled these consumer expectations, uses colonies of Kiva robots in automated warehouses to help achieve its fast shipping times. Modest-sized retailers and distribution centers can’t afford that kind of technology, so last summer San Jose, CA-based Fetch Robotics set out to create human-scale robot workers to help those smaller companies compete in the on-demand era. While Amazon can afford to rebuild its warehouses to accommodate the extensive Kiva system, Fetch decided to make robots that would work in existing buildings with a minimum of retrofitting.
Fetch kept its evolving robots under wraps for five to six months while they were being designed and fabricated, says CEO Melonee Wise. But today the company is unveiling its first robot duo—named Fetch and Freight—to attract potential customers interested in trying a pilot project.
Fetch is an automaton about as tall as a middle-school child. Its single arm ends in a two-fingered gripper that can pick boxes off warehouse shelves and pass them to its sidekick, Freight. That robot co-worker consists of a wheeled base—similar to the one propelling Fetch around—that can be fitted with a collection bin or a set of shelves to hold the items Fetch selects. Once the order has been assembled, Freight can carry the goods to a shipping station at speeds faster than Fetch can move, because Freight’s center of gravity is lower.
Wise says Fetch is one of the few robotics companies that combine a gripper function with the mobility to travel along warehouse shelves to pluck out goods. Other companies are developing robots with similar talents, such as Billerica, MA-based Harvest Automation’s rolling bots for agricultural use. Those robots can pick up potted plants and place them on a conveyer belt, for example. Boston-based Rethink Robotics tailors robots for manufacturing chores, such as circuit testing or feeding fabric into automated industrial sewing machines.
It’s hard to make head-to-head comparisons just yet between robots like those made by Harvest, Rethink, and Fetch, which focuses on logistics. That’s the art of managing the transport of goods from factories or storehouses to consumers. But what’s clear is that a market is emerging for dexterous and mobile robots in retail, distribution, and manufacturing.
Packets of Oreos, boxes of crayons, and squeaky dog toys will test the limits of robot vision and manipulation in a competition this May. Amazon is organizing the event to spur the development of more nimble-fingered product-packing machines.
Participating robots will earn points by locating products sitting somewhere on a stack of shelves, retrieving them safely, and then packing them into cardboard shipping boxes. Robots that accidentally crush a cookie or drop a toy will have points deducted. The people whose robots earn the most points will win $25,000.
Amazon has already automated some of the work done in its vast fulfillment centers. Robots in a few locations send shelves laden with products over to human workers who then grab and package them. These mobile robots, made by Kiva Systems, a company that Amazon bought in 2012 for $678 million, reduce the distance human workers have to walk in order to find products. However, no robot can yet pick and pack products with the speed and reliability of a human. Industrial robots that are already widespread in several industries are limited to extremely precise, repetitive work in highly controlled environments.
Pete Wurman, chief technology officer of Kiva Systems, says that about 30 teams from academic departments around the world will take part in the challenge, which will be held at the International Conference on Robotics and Automation in Seattle (ICRA 2015). In each round, robots will be told to pick and pack one of 25 different items from a stack of shelves resembling those found in Amazon’s warehouses. Some teams are developing their own robots, while others are adapting commercially available systems with their own grippers and software.
Amazon has lots and lots of warehouses, sorry fulfilment centers, all over the world and they employ lots of humans to find the stuff you buy. The Amazon Picking Challenge is about getting robots to do the same job.
Amazon's fulfilment centers are already interesting from the point of view of computer science. For example, they use a hashing system to place things on shelves. You don't have to search for something alphabetically, you simply compute its hash function and this is the address of the shelf it is sitting on.
In March 2012 Amazon also bought a company that makes warehouse robots, Kiva Systems. These make small trucks which turn shelving into something more mobile. In this case the trucks move any shelf with everything it is storing to a location that needs it - either to load it with new items or to obtain items that have been ordered.
However, for all this automation Amazon still uses human's, pickers, to actually go to the location on a shelf and take one, or however many, of whatever it is you ordered and put the items in a tray on another automatic shelf.
Why?
Because despite it being a seemingly menial job it actually needs all those human senses and effectors that we take for granted.
