Self-piloted drones may be able to land or fly almost anywhere -- even aircraft carriers -- but they need some complex navigation skills to do it, including the somewhat existential ability to know where they are in the world. But this is difficult without some type of onboard relative positioning system. A new algorithmic project at MIT straps netbook computer parts to a specially designed, laser-equipped airplane that can find itself and navigate tight spaces safely.
First, the researchers needed a plane that could carry all the computers and electronics it would need to fly, yet still handle tight spaces and low speeds with aerodynamic ease. MIT professor Mark Drela came up with this unusual short-winged model, which buys the aircraft slightly more response time in tight spaces. The Robust Robotics Group, led by associate aeronautics and astronautcs professor Nick Roy, used two types of algorithms to help their airplane locate itself in real time.It was pre-loaded with a map of its environment, but it's still enormously challenging to write programs that can determine where the plane is on this map. The aircraft uses a laser rangefinder, accelerometers, gyroscopes and other sensors to figure out its orientation, speed and other properties, which means lots of computation is required. To figure out its state of being at any given moment, the plane has to calculate 15 different values, according to MIT News. A combination of two state-estimation algorithms figures this out on the fly, allowing the plane to dodge obstacles it only just figured out it was approaching.