A swarm of autonomous drones capable of navigating the bamboo forest with ease

Illustrative Image – Andy Dean Photography / Shutterstock

Chinese researchers have developed a new and more efficient navigation system that allows a swarm of 10 lightweight drones to fly together without colliding or colliding with obstacles, including crowded and dangerous places such as forests.

Much lighter and more agile equipment

Although drones can calculate their position, determine the optimal route and identify potential obstacles using a variety of sensors, these are often expensive and cumbersome. Therefore, developing more compact versions of such devices usually involves getting rid of these types of components, which affects their ability to grow safely within their environment.

With reference to work published in the journal science robotics, jin zhou and his colleagueszhejiang university developed a new software approach to reduce the size and hardware requirements of drones without sacrificing their agility.

Able to fit into the skin of a hand, their new drone includes commercially available electronic components (a camera that transmits images in real time to its central processor), powered by a 100g battery that allows it to fly for 11 minutes. gives autonomy.

a high-performance algorithm

The localization algorithm developed by the team creates a 3D image where the positions of obstacles (including those of other instruments in the swarm) are regularly updated, allowing each drone’s flight pattern to be re-adjusted in real time. The most efficient route is planned to pass through the area safely.

Although such a program drains most of the drone’s processing power, it has the advantage of not requiring specialized (more power-hungry) processors or GPS signals, meaning these drones can theoretically be deployed anywhere. can be done.

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, The proposed system is similar to birds that are able to fly freely in the forest while avoiding obstacles and other moving creatures. “, Understand zhouindicating that such swarms may eventually carry objects (including urban environments) and perform aerial mapping in inaccessible areas.

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About the Author: Tad Fisher

Prone to fits of apathy. Music specialist. Extreme food enthusiast. Amateur problem solver.

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