The same machine, three ways: the airport, the hospital, the plant
A navigating robot that reads a building once and finds its own way through people is the same idea whether it is scrubbing a terminal, towing a case cart or carrying totes between presses. What changes is the building, the hour, the person it works beside and the number that justifies it. Three published deployments of one idea, side by side.
The short answer
The robot that changed buildings in the last decade is not an arm. It is a vehicle that carries its own map, localizes with lidar and cameras, plans around whatever is in the way, and can be given a destination from a tablet. Put a scrubbing deck on it and it cleans an airport. Put a hook on it and it tows a hospital case cart. Put a shelf on it and it runs parts between departments in a plant. The published accounts below are of three such machines, and the interesting thing is how different the three businesses are around one idea.
The airport, at three in the morning
Cincinnati/Northern Kentucky International Airport doubled its passenger count to 9.1 million a year with 120 in-house and contract housekeepers scrubbing by hand driven machine, and in November 2019 it put one autonomous scrubber on its terminal floors, the first at a US airport. The maker publishes about 200,000 square feet cleaned a week in the pilot, more than 5 million square feet in the first year, and the airport's own estimate of a 12 to 18 month payback at eight hours of running a day. Nobody was let go; staff moved to supervising the robot and to work it cannot do. The building is open, hard and mapped once. The person it works beside is a night janitor. The number is driver hours and square feet per night. Disclosure: Steel Collar is an independent dealer for this machine's maker.
The hospital, at two in the afternoon
A hospital corridor is the hardest building a vehicle can work in: narrow, crowded with beds and visitors, broken by fire doors and elevators, changing hour to hour. Purpose built tuggers now tow the carts hospitals already own, with elevator and door integration and a shift of runtime; the matrix on this site carries one rated for about 340 kilograms with 12 hours of runtime and automatic charging, built for pharmacy, lab, linen, nutrition and surgical carts, verified against the maker's material. The person it works beside is a sterile processing technician or a nurse. The number is clinical hours returned, which a hospital's finance office can price exactly, and which almost always convert because the people who stop pushing carts have patients waiting.
The plant, at ten in the morning
Magna-Power builds made to order power systems in a 73,000 square foot New Jersey plant, and parts used to move between sheet metal, machining, board assembly and test by hand. Two mobile robots with shelf modules now run scheduled bus routes between the stockroom and each department, about 4.6 miles a day between them, as trade press reported, with transportation work equal to about three full time employees freed for higher value tasks and a payback under a year, as the vendor and trade press published it. The building is a plant with forklifts. The person it works beside is a material handler. The number is walking hours that convert into work, with a safety argument about forklifts and pedestrians that is real and hard to price.
What is the same
The map. The sensors. The habit of stopping for the pallet left in the aisle. The fact that the robot does not remove a person from the building but moves them to the part of the job that needed a person. And the deployment pattern: a route or a zone, learned once, run on a schedule, with a human who owns it and a dashboard that shows what happened at three in the morning.
What is different
Everything the buyer has to decide. The airport buys hours of cleaning per night and a software plan. The hospital buys clinical hours and an elevator integration and takes longer to deploy because infection control and doors each need engineering. The plant buys walking hours and a top module built for the actual load, and has to separate forklift traffic from the robot's path in a risk assessment. Same idea, three different quotes, three different disqualifiers, and the application guides on this site keep them apart on purpose.
How to use this
Do not shop for a navigating robot. Shop for the hours in your building that a navigating robot would return, and let the hours pick the machine. An airport that tried to use a hospital tugger would be disappointed. A hospital that bought a scrubber would be clean and no faster. A plant that bought either would be confused. The concierge on this site asks about the building, the hour and the person before it names a class, which is why the same conversation in three buildings ends with three different machines.
Describe your building and the hours you would like back to Joe, the concierge on this site. He will tell you which of the three businesses you are in, and which machine goes with it.
Related on this site
- An hour returned to the night crew
- The nurse who stays with the patient
- The quiet aisle
- A mobile robot is not an arm on wheels
- Material movement
Natural navigation is one technology and three businesses. Buy it for the building you have, measure it in the hours it returns, and let the application, not the brochure, choose the machine.
Put it to the test on your own job
Tell Joe what you are running and he will apply this to your numbers, including telling you when a robot is the wrong answer.
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