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February 2, 2026Proceedings of the National Academy of Sciences1 citationsOpen Access

Automated decision-making by chemical echolocation in active droplets

AMAritra K. MukhopadhyayRNRan NiuLFLinhui Fu

Key Points

  • This research aims to create synthetic agents that can navigate and make decisions autonomously using chemical signals.
  • Development of synthetic microswimmers and nanoagents
  • Implementation of chemo-hydrodynamic signal mechanisms
  • Testing navigation through maze-like environments
  • Synthetic agents successfully navigate and solve mazes autonomously
  • Agents transport cargo through complex environments without external cues
  • Mechanism allows for remote sensing and environmental response similar to 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.

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Cite This Study

Mukhopadhyay et al. (2026) studied this question.

synapsesocial.com/papers/6980fc37c1c9540dea80e087https://doi.org/10.1073/pnas.2526773123
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