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New Spinning Drone Hides In Plain Sight

著者: EditorDavid
2026年8月3日 07:09

🤖 AI Summary

北華大學の研究チームは、高速回転を利用した「モーションブラー」を用いて完全に見えないドローンを開発しました。この技術により、ファンが消えるように見える原理と同じく、ドローンが25回転/秒で高速回転することで人間の目からは見えにくくなります。

研究チームはまず、計算モデルを使って安定した飛行を可能にする約2万通りのドローン設計を生成し、次に人工知能(AI)と最適化アルゴリズムを利用して主要な部品(モーター、プロペラ、基板、カウンターバランス、バッテリーなど)を繰り返し配置換えました。その後、さまざまな構成案の中から最適なドローンの配置を見つけるためのアルゴリズムを使用し、実世界の100枚の背景画像上で各ドローンを回転させたシミュレーションを行い、人間の視覚モデルを使ってどれだけ見えにくいか評価しました。最も見えにくい500種類を選出し、さらに最適化アルゴリズムによって部品の配置を見直して評価を下げる作業を行いました。

このドローンは「ファントム・ツイスト」と名付けられ、今後の改良ではより透明な素材や静かになったプロペラを使用することでより見えにくくする計画です。7月16日にシドニーで開催された「ロボティクス:科学とシステムズ2026」で研究結果が発表されました。
To design invisible drones, researchers have tried camouflage, transparent materials and light-bending optical systems. But engineers at Northwestern University used "motion blur," which an announcement from the school notes is the effect that makes fast-spinning fans seem to disappear. "The drone spins up to 25 times per second, which is too fast for the human eye to see clearly. While it isn't completely invisible, it morphs into a ghostly smudge that seamlessly blends into the background... " To design the drone, the Northwestern team first used a computational model to generate roughly 20,000 drone configurations capable of stable flight. Then, they used artificial intelligence (AI) and optimization algorithms to repeatedly rearrange the drones' major components, including a motor, propeller, circuit board, counterweight and batteries. After sifting through many different configurations, the algorithms determined the ideal placement of the drone's components to minimize its visibility from virtually every viewing angle while allowing for stable flight. After selecting promising candidates, the engineers simulated each drone spinning in flight and overlaid those images a hundred real-world backgrounds. Then, they used a perception model that approximates human vision to determine how noticeable each design appeared. Designs that blended into their surroundings received lower visibility scores. The team selected the 500 lowest-scoring designs and applied the optimization algorithm, which repeatedly adjusted the positions of components to further minimize those scores. "The design process was fully automated," [said Northwestern's associate CS professor Michael Rubenstein, who led the work]. "Then, when we were confident that a drone met all our criteria, we built it." They've named the drone "Phantom Twist"," and plan to design future iterations with more transparent materials or quieter propulsion to make it even less noticeable. The Northwestern team presented the work on July 16 at Robotics: Science and Systems 2026 in Sydney, Australia... Thanks to long-time Slashdot reader fahrbot-bot for sharing the news.

Read more of this story at Slashdot.

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