4.8 Article

CMOS-Inspired Complementary Fluidic Circuits for Soft Robots

Journal

ADVANCED SCIENCE
Volume 8, Issue 20, Pages -

Publisher

WILEY
DOI: 10.1002/advs.202100924

Keywords

analog fluidic circuits; complementary metal-oxide-semiconductor-inspired fluidic circuits; controllable fluidic self-oscillator; electronics-free controllers; soft robotics

Funding

  1. Facebook Reality Lab

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The latest research in digital fluidic circuits aims to create electronics-free controllers for soft robots, but faces challenges in adjusting digital logic operations. A new approach has been presented to design a circuit with digitized fluidic gates that can actively tune fluidic characteristics for improved control. This work has successfully modeled a pressure-controlled oscillator, showcasing its ability to modulate frequency and control the motion of soft robotic systems.
The latest efforts in digital fluidic circuits' research aim at being electronics-free, light-weight, and compliant controllers for soft robots; however, challenges arise to adjust the fluidic circuit's digital logic operations. Currently there is no other way to modulate the amplitude or frequency but to structurally redesign the entire fluidic circuitry. This is mainly because there is currently no method to create an analog circuit-like behavior in the digital fluidic circuits using conventional digitized fluidic gates. In this work, a new approach is presented to designing a circuit with digitized fluidic gates that is comparable to an analog circuit capable of actively tuning the circuit's fluidic characteristics, such as pressure gain, amplitude of output, and time response. For the first time, a pressure-controlled oscillator is modeled, designed, and prototyped that not only controls the fluidic oscillation, but also modulates its frequency using only a single, quasi-static pressure input. It can also demonstrate the circuit's performance for the control of a soft robotic system by actively modulating the motion of a soft earthworm robot up to twice of crawling speeds. This work has distinct contributions to designing and building intelligent pneumatic controllers toward truly comprehensive soft robotic systems.

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