Georgia Institute of Technology researchers have created a system in which a person taps the tablet to control where a beam of light appears on a floor.
The swarm robots then roll toward the illumination, constantly communicating with each other and deciding how to evenly cover the lit area. When the person swipes the tablet to drag the light across the floor, the robots follow.
If the operator puts two fingers in different locations on the tablet, the machines will split into teams and repeat the process.
"Instead, the operator controls an area that needs to be explored. Then the robots work together to determine the best ways to accomplish the job," Egerstedt said.
Egerstedt envisions a scenario in which an operator sends a large fleet of machines into a specific area of a tsunami-ravaged region.
The robots could search for survivors, dividing themselves into equal sections. If some machines were suddenly needed in a new area, a single person could quickly redeploy them.
"People can quickly adapt to changing circumstances, make new decisions and act. Robots typically can't. It's hard for them to talk and form plans when everything is changing around them," said Egerstedt.
In the Georgia Tech demonstration, each robot is constantly measuring how much light is in its local 'neighbourhood.' It's also chatting with its neighbour.
When there's too much light in its area, the robot moves away so that another can steal some of its light.
"In the future, farmers could send machines into their fields to inspect the crops," said Georgia Tech PhD candidate Yancy Diaz-Mercado.
"Workers on manufacturing floors could direct robots to one side of the warehouse to collect items, then quickly direct them to another area if the need changes," Diaz-Mercado said.
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