Automated decision-making by chemical echolocation in active droplets

TL;DR

This paper introduces a chemo-hydrodynamic echolocation mechanism enabling synthetic active droplets to autonomously navigate complex environments and make decisions, mimicking biological microorganisms.

Contribution

It presents a novel decision-making mechanism for synthetic microswimmers based on chemo-hydrodynamic signals, advancing autonomous navigation capabilities.

Findings

Synthetic droplets can solve mazes autonomously.

They can transport cargo without external guidance.

The mechanism mimics biological echolocation.

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.