微小ロボットが音を使って自律的にグループ形成(Tiny robots use sound to self-organize into intelligent groups)

2025-08-12 ペンシルベニア州立大学 (Penn State)

ペンシルバニア州立大学らの研究で、マイクロロボットが音波を用いて自律的に群れを形成し、集団として“知能的”行動を示す仕組みが理論的に示された。各ロボットは発音器・検出器・発振器・モーターを備え、音波で通信しつつ最も強い音源方向へ移動、同期しながら魚群のような隊形を形成する。群れは形状を変えたり崩れても再構成でき、環境変化や入力信号に集団で適応可能。将来的に災害探査、汚染除去、体内薬剤運搬などへの応用が期待される。成果はPhysical Review Xに掲載。

微小ロボットが音を使って自律的にグループ形成(Tiny robots use sound to self-organize into intelligent groups)
A new study led by Penn State researchers shows for the first time how sound waves could function as a means of controlling micro-sized robots. Credit: Igor Aronson / Penn State. Creative Commons

<関連情報>

音響信号が活性物質系における集団的知覚と制御を可能にする Acoustic Signaling Enables Collective Perception and Control in Active Matter Systems

Alexander Ziepke, Ivan Maryshev, Igor S. Aranson, and Erwin Frey
Physical Review X  Published: 12 August, 2025
DOI: https://doi.org/10.1103/m1hl-d18s

Abstract

Emergent cooperative functionality in active matter systems plays a crucial role in various applications of active swarms, ranging from pollutant foraging and collective threat detection to tissue embolization. In nature, animals like bats and whales use acoustic signals to communicate and enhance their evolutionary competitiveness. Here, we show that information exchange by acoustic waves between active agents creates a large variety of multifunctional structures. In our realization of collective swarms, each unit is equipped with an acoustic emitter and a detector. The swarmers respond to the resulting acoustic field by adjusting their emission frequency and migrating toward the strongest signal. We find self-organized structures with different morphology, including snakelike self-propelled entities, localized aggregates, and spinning rings. These collective swarms exhibit emergent functionalities, such as phenotype robustness, collective decision making, and environmental sensing. For instance, the collectives show self-regeneration after strong distortion, allowing them to penetrate through narrow constrictions. Additionally, they exhibit a population-scale perception of reflecting objects and a collective response to acoustic control inputs. Our results provide insights into fundamental organization mechanisms in information-exchanging swarms. They may inspire design principles for technical implementations in the form of acoustically or electromagnetically communicating microrobotic swarms capable of performing complex tasks and concerting collective responses to external cues.

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