Computer scientists are programming drones equipped with a payload of ink to paint murals.
It’s no simple feat. Programming the aerial robots to apply each payload of ink accurately and efficiently requires complex algorithms to plan flight paths and adjust for positioning errors. Even very slight air currents can toss the featherweight drones off course.
The drones, which are small enough to fit in the palm of a hand, are outfitted with a miniature arm that holds a bit of ink-soaked sponge. As they hover near the surface to be painted, internal sensors and a motion capture system help position them to dab dots of ink in just the right places, an artistic technique known as stippling.
Eventually, larger drones could be deployed to paint murals on hard-to-reach outdoor surfaces.
Professor Paul Kry at McGill University’s School of Computer Science came up with the idea a few years ago, as a way to do something about the blank hallways and stairwells in the building that houses his lab.
“I thought it would be great to have drones paint portraits of famous computer scientists on them,” he recalls.
He bought a few of the tiny quadcopters online and had a student start on the task as a summer project in 2014, under a Canadian government award for undergraduate research.
Later, master’s students Brendan Galea and Ehsan Kia took the project’s helm, often working at night and into the wee hours of the morning so the drones’ artistic efforts wouldn’t be disturbed by air turbulence from other students coming in and out of the lab.
An article on the project by Kry and the three students won a “best paper” prize in May at an international symposium in Lisbon on computational aesthetics in graphics and imaging.
Eventually, larger drones could be deployed to paint murals on hard-to-reach outdoor surfaces, including curved or irregular facades, Kry says.
“There’s this wonderful mural festival in Montreal, and we have giant surfaces in the city that end up getting amazing artwork on them,” he notes. “If we had a particularly calm day, it would be wonderful to try to do something on a larger scale like that.”
Funding from the Natural Sciences and Engineering Research Council of Canada, the Fonds de recherche du Québec – Nature et technologies, and the Canada Foundation for Innovation supported the project.
Source: McGill University