Rotation Control, Interlocking and Self-positioning of Active Cogwheels

TL;DR

This paper demonstrates the assembly, control, and interlocking of active micromachined cogwheels powered by colloidal microswimmers, enabling self-positioning and microbot functionalities at microscale.

Contribution

It introduces a novel method for creating and controlling self-spinning, interlocking cogwheels with optical torque control, advancing microscale machinery and microbot programming.

Findings

Cogwheels are autonomous, powered by colloidal microswimmers.

Optical vortices control the rotation direction of cogwheels.

Interlocking cogwheels exhibit curvature-dependent mobility and self-positioning.

Abstract

Gears and cogwheels restrain degrees of freedom and channel power into a specified motion. They are fundamental components of macroscopic machines. Interlocking microrotors similarly constitute key elements toward feasible micromachinery. Their assembly, positioning and control is a challenge at microscale, where noise is ubiquituous. Here, we show the assembly and control of a family of self-spinning cogwheels with varying teeth numbers and study interlocking mechanisms in systems of multiple cogwheels. The cogwheels are autonomous and active, with teeth formed by colloidal microswimmers that power the structure, and control its rotation rate. Leveraging the angular momentum of light with optical vortices, we control the direction of rotation of the cogwheels. We study pairs of interlocking cogwheels, that roll over each other in a random walk and curvature-dependent mobility. We leverage this feature to achieve self-positioning of cogwheels on structures with variable curvature and program microbots, notably demonstrating the ability to pick up, displace and release a load. This work highlights untapped opportunities of manufacturing at microscale using self-positioning components and constitutes an important step towards autonomous and programmable microbots.