A new algorithm can pilot a drone to guide flocks from away from busy airspace.
The current method: Birds pose a serious danger to planes—just ask pilot Chelsey Sullenberger and the survivors of US Airways flight 1549 in 2009. Airports employ all sorts of tactics to scare birds off, from loud noises to lasers, and even trained falcons. But they’re pretty costly, and can be unreliable.
The new method: In a recent paper in IEEE Transactions on Robotics, engineers from Caltech describe how they built on sheep herding algorithms to create software that could autonomously control a drone. The team learned how to gauge the proper distance between the drone and the animals by observing how multiple flocks of birds interact with each other.
The results: The team found the system to be effective in tests for flocks of dozens of birds with only one drone (see gif). The technology could help prevent accidents like Sullenberger’s “Miracle on the Hudson” landing.
Toronto wants to kill the smart city forever
The city wants to get right what Sidewalk Labs got so wrong.
A day in the life of a Chinese robotaxi driver
We spoke to Liu Yang, who has one of the strangest jobs around: to sit in the passenger seat and monitor how self-driving cars cope with Beijing’s streets.
We need smarter cities, not “smart cities”
A singular focus on high-tech will dilute the vibrancy of our cities and limit their potential.
Marseille’s battle against the surveillance state
The boisterous, rebellious port city is trying to fight the growing ubiquity of policing cameras.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.