Automated decision-making by chemical echolocation in active droplets

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Authors: Aritra K. Mukhopadhyay, Ran Niu, L. B. Fu, Feng Ke, Christopher Fujta, Qiang Zhao, J. -L. Qu, Benno Liebchen
Cited by: 0

Abstract

Motile microorganisms, like bacteria and algae, unify abilities like self-propulsion, autonomous navigation, and decision-making on the micron scale. While recent breakthroughs have led to the creation of synthetic microswimmers and nanoagents that can also self-propel, they still lack the functionality and sophistication of their biological counterparts. This study pioneers a mechanism enabling synthetic agents to autonomously navigate and make decisions, allowing them to solve mazes and transport cargo through complex environments without requiring external cues or guidance. The mechanism exploits chemo-hydrodynamic signals, produced by agents like active droplets or colloids, to remotely sense and respond to their environment - similar to echolocation. Our research paves the way for endowing autonomous, motile synthetic agents with functionalities that have been so far exclusive to biological organisms.

Fields of Study & Subjects

Micro and Nano Robotics Modular Robots and Swarm Intelligence Pickering emulsions and particle stabilization

Publication details

Journal / source
arXiv (Cornell University)
Publication date
1 January 2026
Document type
Preprint