Massachusetts Institute of Technology
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 comfort, because we know it will not fail, thanks to the algorithm’s worst-case performance,” says Xiaoyi Cai, a PhD student in MIT’s Department of Aeronautics and Astronautics (AeroAstro).