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Appel 43.1 - Micro

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when it defies gravity. Together laminar flow and capillary

forces allow for ideal dispersion and faster diffusion.

Using these principles, chemists and biologists developed

complex microfluidic circuits and measuring devices, like

blood glucose meters and pregnancy tests.

Unfortunately, many of these scientists were too preoccupied

with this microfluidic technology. They neglected

to produce research with commercial or practical applications.

Currently, microfluidics are experiencing a revival

thanks to a close collaboration between new generations

of scientists and engineers.

HOW MICROFLUIDICS CAN BE AP-

PLIED IN A SOFT ROBOT?

design, pressure opens and closes the gates. This controls

whether or not a microfluid can pass through.

This year researchers from the Chonnam National University,

South Korea, published a paper on a new concept

of a 3D slope valve which precisely controls fluid flow.

Through either improvement of functions or revision of

control of microfluidic circuits, researchers are now working

tirelessly to replicate functions of integrated electric

circuits (IECs) into integrated microfluidic circuits (IMCs).

Depending on the amount of programmable actions, soft

robots will be able to sense, move, and interact with their

surroundings.

CONTROL

A recent result of this collaboration has been an introduction

of microfluidics into some soft robotics devices.

In 2016, Harvard presented the first entirely autonomous

soft robotics device, an octopus shaped robot named Octobot.

Microfluidics powered, controlled, and actuated it.

Octobot did not look too phenomenal and its tentacles appeared

to rather twinge than produce a smooth motion,

but it was a start nevertheless.

A complete integration of fully microfluidic control is a

reason why this was such a prominent project. Microfluidics

and regular fluids are a good source for smooth and

compliant movement of a robot. For example changing

pressure can alter the shape of the silicon (or another soft

material), so there is nothing groundbreaking there. However,

prior to Cctobot, the traditional control of these

motions was done via hard electronics and batteries or

other external connections. Naturally, use of rigid electronics

significantly reduces the compliant behavior of

robots and, therefore, their effectiveness.

Beginning with fuel storage and ending with actuation, all

tasks are done via microfluidics within the Octobot. The

power comes from the chemical reaction which explodes

liquid fuel into a gas. This gas fills 3D printed cavities of

the silicon based body, which expands them, causing respective

twitching. The brain of Octobot is a microfluidic

logic circuit, and it controls when the chemical reaction

should take place. This microfluidic circuit functions similarly

to an electronic oscillator where the inductor and

capacitor exchange energy creating an alternating current.

The exchange continues until the robot runs out of

fuel, and friction within channels decreases the current

to zero. According to the Nature Magazine, one milliliter

of the liquid can support Octobot for around 8 minutes [6].

Research to increase and improve functions of a microfluidic

circuit, and thus expanding what it can actually do,

is an ongoing process.

Back in 2011, a group from the University of Michigan,

USA, proposed a design of an elastomeric valve based system

which functions as a self regulating circuit. In the

MANUFACTURING

Two years after the release of Octobot, the same team

from Harvard presented another eight legged silicon

creature, a peacock spider. This soft robot combined microfluidic

control with newly developed microfabrication

techniques to achieve a wider range of motion. Not an expanding

gas but dyed water allows it to squat and balance

on its eight colorful legs. With an increased amount of

channels and interwindings, degrees of freedom and complexity

of the movement increase, approaching the ideal

of a muscle.

But, the spider is still far from this ideal. Its body and legs

are made from twelve layers of stacked silicon allowing

for varying stiffness. The channels and their sizes merge

between different layers. Larger cavities span more layers,

for example. When fluid fills one of knee cavities, the

compliant layers expand under the pressure, thus forcing

the leg to bend. The group from Harvard calls this process

injection-induced self-folding. The control of bending the

eight legs allows for a variety of different motions.

There are different ways to create these patterns of cavities

and channels. The industry standard for many years

has been soft lithography. Simply put, this process transfers

the pattern on a photomask to the surface of a silicon

wafer using UV light. There are many steps and preparation

procedures in this process. The main steps are: (1)

8

DE APPEL

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