Role of single particle motility statistics on efficiency of targeted delivery of micro-robot swarms

TL;DR

This paper investigates how the movement patterns of individual micro-robots influence the effectiveness of targeted drug delivery, providing insights for optimizing micro-robot swarm design.

Contribution

It analyzes the impact of different single-particle motility statistics on capture efficiency, informing design strategies for micro-robot swarms in biomedical applications.

Findings

Variations in motion dynamics significantly affect capture efficiency

Certain motility parameters enhance drug delivery success

Insights guide hardware and control system improvements

Abstract

The study of dynamics of single active particles plays an important role in the development of artificial or hybrid micro-systems for bio-medical and other applications at micro-scale. Here, we utilize the results of these studies to better understand their implications for the specific application of drug delivery. We analyze the variations in the capture efficiency for different types of motion dynamics without inter-particle interactions and compare the results. We also discuss the reasons for the same and describe the specific parameters that affect the capture efficiency, which in turn helps in both hardware and control design of a micro-bot swarm system for drug delivery.