Researchers from the Institute of Science Tokyo developed a wind direction detection method with 99% accuracy by using seven strain gauges on flapping wings and a neural network.
Inspired by birds and insects, the study highlights how natural wing strain receptors aid in flight control by detecting wind and environmental changes.
Tanaka notes, 'Small aerial robots cannot afford conventional flow-sensing apparatus due to severe limitations in weight and size. Hence, it would be beneficial if simple wing strain sensing could be utilized.'
The research demonstrates a promising approach for robotic flight adaptation, exploring how biomimetic flapping robots can respond to varied wind conditions through integrated sensing.
Collection
[
|
...
]