AI News, AirBurr MAV Navigates by Bouncing Off Walls and Floors

AirBurr MAV Navigates by Bouncing Off Walls and Floors

A lot of UAV research is focused on making flying robots that can navigate by themselves using sophisticated sensor systems, intelligently avoiding crashing into things.

If a collision results in a fall to the ground, the robot's Active Recovery System, comprised of a system of spring-loaded carbon fibre legs, allow it to return to an upright position and take off again.

Obviously, having just four sensors makes AirBurr kinda terrible at obstacle avoidance, but the simple fact is that it just doesn't matter: it may not be efficient at finding its way down a hallway, but it does so with an absolute bare minimum of sensors, and it wouldn't care if the hallway was pitch black or full of smoke or otherwise a place in which conventional vision would be out of luck.

The mapping behavior is especially cool, and if the resulting light paintings remind you of anything, it's because AirBurr employs a random direction algorithm that's similar to the one used by some robotic vacuum cleaners.