A swarm of drones autonomously tracks a person in a dense forest

A new research paper was published this week that reveals a swarm of microflying robots that can track people and fly through dense forests with ease. Watch the video below to see how the drone swarm moves through a dense bamboo forest and tracks a person from all directions, even in the presence of obstacles.

Many scifi films use swarms of drones for a variety of purposes, from exploring unknown alien ships to surrounding spaceships as shields. Thanks to drones that can autonomously navigate and coordinate the flight path. Now science fiction is becoming a reality thanks to researchers and scientists from China’s Zhejiang University.

drone swarm specifications

swarm of drones

“Aerial robots are widely used, but highly cluttered environments such as dense forests remain inaccessible to drones, and even more so to drone swarms. In these scenarios, the previously unknown environment and narrow corridors, combined with swarm coordination requirements, can create problems. To enable swarm navigation in the wild, we are developing miniature but fully autonomous drones with a trajectory planner that can function in a timely and accurate manner based on limited information from onboard sensors. “

“The scheduling task satisfies various task requirements, including flight efficiency, obstacle and collision avoidance between robots, dynamic feasibility, swarm coordination, etc., thus realizing an extensible scheduler. In addition, the proposed scheduler deforms the shape of the trajectories and synchronously adjusts the distribution of time based on spacetime joint optimization. “

swarm of drones

“Thus, after exhaustive use of the decision space, it is possible to obtain a highquality trajectory in just a few milliseconds, even in the most limited conditions. The scheduler is finally integrated into the developed palmsized swarm platform with builtin sensing, localization and control. Comparative tests confirm the scheduler’s excellent performance in terms of trajectory quality and computation time. Various field experiments in the real world demonstrate the scalability of our system. Our approach advances aerial robotics in three ways: the ability to navigate in a cluttered environment, expandability to suit different task requirements, and coordination like a swarm without external aids.”

Source: Science.

Headings: Technology news, Main news

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