What robots can learn from fire ants



When fire ants dig out a new nest underground, a small number are actually doing most of the work while the rest dilly-dally. Apparently this is actually an effective division of labor because it prevents the insects from getting in each other's way. Now, Georgia Tech researchers suggest this approach could be help future robot swarms be more efficient in cramped areas like collapsed buildings or construction sites. From Science News:


(Physicist Daniel) Goldman's team created computer simulations of two ant colonies digging tunnels. In one, the virtual ants mimicked the real insects' unequal work split; in the other, all the ants pitched in equally. The colony with fewer heavy lifters was better at keeping tunnel traffic moving; in three hours, that colony dug a tunnel that was about three times longer than the group of ants that all did their fair share.


Goldman's team then tested the fire ants' teamwork strategy on autonomous robots. These robots trundled back and forth along a narrow track, scooping up plastic balls at one end and dumping them at the other. Programming the robots to do equal work is "not so bad when you have two or three," Goldman says, "but when you get four in that little narrow tunnel, forget about it." The four-bot fleet tended to get stuck in pileups. Programming the robots to share the workload unequally helped avoid these smashups and move material 35 percent faster, the researchers found.


"Collective clog control: Optimizing traffic flow in confined biological and robophysical excavation" (Science)




(image: Stephen Ausmus/Wikipedia)