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You are at:Home » Aviation robots can navigate unknown environments at high speed and safely
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Aviation robots can navigate unknown environments at high speed and safely

Adnan MaharBy Adnan MaharFebruary 1, 2025No Comments4 Mins Read0 Views
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Aviation robots that can navigate unknown environments at high speed and safely while avoiding obstacles

High-speed aviation robot with high safety. Credit: University of Hong Kong

A team of engineers and roboticists from the University of Hong Kong designed, built and tested aviation robots that can navigate unknown environments at high speed and safely, while avoiding obstacles. In a paper published in the journal Science Robotics, the group overcomes problems encountered by others trying to build similar robots, and how well the Quadcopter robots performed during testing worked It explains.

For several years, roboticists have been trying to build flying robots that could function like birds. It moves at high speeds, adapting to unknown conditions, such as wind, power lines, wooden limbs, and other objects suddenly appearing. Their way.

Summary of the proposed supersystem. Super demonstrates the ability to safely navigate unknown and messy environments at high speed. Avoid thin obstacles like power lines. It runs robustly in a variety of scenarios, including object tracking and autonomous exploration. Credit: University of Hong Kong

Most such flying robots rely on different types of sensors and cameras that need to process huge amounts of video data, slowing down the speed at which they can operate. In this new effort, Hong Kong researchers say they have finally overcome these challenges.

They argue that the secret behind their success is the use of 3D light detection and range riders rather than traditional cameras and sensors.

Safe high speed navigation in unknown environments. Credit: University of Hong Kong

Lidar data says it is being fed to onboard computers that use information to provide a continuous two-orbit strategy to plot the robot’s flight path in real time. The two trajectories provide the option to take the safest route for exploratory routes. The software on the computer moves two trajectories to provide the optimal path.

Aviation robots that can navigate unknown environments at high speed and safely while avoiding obstacles

A demonstration of thin object avoidance. (a) (i-IV) experiments used four thin wires of various diameters. (b) (i toiv) Time-lapse image capturing the flight of the DJI Mavic3. We successfully avoided thin wires with a diameter of 30 mm, but were unable to avoid small wires. (c) (i to iv) Time-lapse images capturing flights of the Super. I successfully avoided all four types of thin wires. (d) Super Point Cloud View when facing a thin 2.5 mm wire. The wires were seen in current scan measurements (white dots) and were more evident in accumulated point clouds (colored dots). Credit: University of Hong Kong

Tests showed that the Super could safely fly obstacle courses at 20 meters per second. The research team also found that they could follow targets such as humans to pass through the forest and avoid forests, branches and other obstacles. They also found that it can work in low light conditions as it is based on Lidar.

Super application in object tracking, autonomous exploration, and waypoint navigation missions. Credit: University of Hong Kong

The research team suggests that Super is a major advance in autonomous aviation robot technology. This can be used for search and rescue applications, but the most logical applications are law enforcement and military reconnaissance.

A demonstration of the super’s ability to avoid thin obstacles. Credit: University of Hong Kong

Navigation in a messy environment. Credit: University of Hong Kong

Details: Yunfan Ren et al, Mavs’ safe and fast navigation, Science Robotics (2025). doi:10.1126/scirobotics.ado6187

©2025 Science X Network

See Quote: Super-in Action: Aerial robots can navigate unknown environments at high speed and safely (February 1, 2025) February 6, 2025 https://techxplore.com/news/2025- Retrieved from 02-aerial-robot-unkond-environments-Safely.html

This document is subject to copyright. Apart from fair transactions for private research or research purposes, there is no part that is reproduced without written permission. Content is provided with information only.



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Adnan Mahar
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Adnan is a passionate doctor from Pakistan with a keen interest in exploring the world of politics, sports, and international affairs. As an avid reader and lifelong learner, he is deeply committed to sharing insights, perspectives, and thought-provoking ideas. His journey combines a love for knowledge with an analytical approach to current events, aiming to inspire meaningful conversations and broaden understanding across a wide range of topics.

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