A new algorithm helps drones find the fastest route around obstacles without crashing.

A new algorithm helps drones find the fastest route around obstacles without crashing. The system could enable fast, nimble drones for time-critical operations such as search and rescue.

If you follow autonomous drone racing, you likely remember the crashes as much as the wins. In drone racing, teams compete to see which vehicle is better trained to fly fastest through an obstacle course. But the faster drones fly, the more unstable they become, and at high speeds, their aerodynamics can be too complicated to predict. Crashes, therefore, are a common and often spectacular occurrence.

Now, aerospace engineers at MIT have devised an algorithm that helps drones find the fastest route around obstacles without crashing. The new algorithm combines simulations of a drone flying through a virtual obstacle course with data from experiments of a real drone flying through the same course in a physical space.