
Robots capable of flight in cramped and cluttered environments have many advantages over their ground-based counterparts, but most current systems suffer from the same fundamental problem: any contact with obstacles has catastrophic, mission-ending results. What if instead of avoiding collisions, a flying robot can become robust to them, and even take advantage of contact with its environment?
Meet the AirBurr, an autonomous flying robot specifically designed for missions in difficult, confined environments under total darkness. Airburr is inspired b the simple navigation strategy that insects use to follow – It follows a path and if it collides, it has an excellent ability to recover.
In this video the AirBurr navigates a corridor and a narrow doorway towards a light source using the signals from 4 simple photodiodes. This strategy is particularly adapted to following faint signals in unstructured, cluttered environments, such as gas leaks in collapsed industrial plants. The AirBurr is then programmed to explore a small room using a random direction algorithm similar to the one used by most robotic vacuum cleaners. This exploration strategy is useful in situations where other sensors cannot be used. It is demonstrated through a flight in a completely dark room where vision-based navigation isn’t possible, and can also be used in smoke-filled environments where laser scanners have trouble functioning correctly.









Nicolas Collins is a sound-tinkerer, who makes almost every electrical device an instrument. I invite you to go to his 








