Harnessing Disparities in Magnetic Microswarms: From Construction to Collaborative Tasks

Area of Science:

• Biomedical Engineering
• Robotics
• Materials Science

Background:

• Natural swarms exhibit heterogeneity and hierarchy for efficient task accomplishment.
• Organizing micro/nanorobots with diverse attributes is challenging but crucial for advanced applications.

Purpose of the Study:

• To develop a general strategy for organizing magnetic micro/nanorobots (MNRs) into cohesive microswarms with tunable heterogeneity and controlled hierarchy.
• To enable collaborative tasking capabilities in these microswarms for biomedical applications.

Main Methods:

• Utilizing rotating magnetic fields to control reversible transitions between synchronization and desynchronization of disparate magnetic MNRs.
• Leveraging hydrodynamic interactions to organize heterospecific MNRs into heterogeneous microswarms with adjustable spatial hierarchies.
• Implementing a "division of labor" by specializing MNRs for sensing and drug carrying.

Main Results:

• Demonstrated dynamic adjustment of spatial organization from egalitarian to leader-follower hierarchies in open space and microchannels.
• Successfully executed precise drug delivery to unknown sites via a collaborative sensing-navigating-cargo dropping sequence.
• Showcased the potential of attribute differences and hierarchical organization in designing efficient swarming micro/nanorobots.

Conclusions:

• The proposed strategy enables the creation of intelligent microswarms with tunable heterogeneity and hierarchy.
• These microswarms show significant promise for precise tumor treatment and other biomedical applications.
• Attribute differences and hierarchical organization are key design principles for advanced swarming micro/nanorobots.