New algorithms allow an autonomous robotic plane to dodge obstacles in a subterranean parking garage, without the use of GPS.
Because autonomous plane navigation in confined spaces is difficult, the MIT team is providing the plane with an accurate digital map of its environment.
The plane determines where it is on the map in real time, using data from a laser rangefinder and inertial sensors (accelerometers and gyroscopes) that it carries on board. It also deduces its orientation — how much it is tilted in any direction — its velocity, and its acceleration.
The MIT researchers’ next step will be to develop algorithms that can build a map of the plane’s environment on the fly.
Also: Learn about the MicroProbe unmanned aerial system.
