Sometimes, one robot isn’t enough.

Consider a search-and-rescue mission to find a hiker lost in the woods. Rescuers might want to deploy a squad of wheeled robots to roam the forest, perhaps with the aid of drones scouring the scene from above. The benefits of a robot team are clear. But orchestrating that team is no simple matter. How to ensure the robots aren’t duplicating each other’s efforts or wasting energy on a convoluted search trajectory?

MIT researchers have designed an algorithm to ensure the fruitful cooperation of information-gathering robot teams. Their approach relies on balancing a tradeoff between data collected and energy expended — which eliminates the chance that a robot might execute a wasteful maneuver to gain just a smidgeon of information. The researchers say this assurance is vital for robot teams’ success in complex, unpredictable environments. “Our method provides…

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