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CMOS-Inspired Complementary Fluidic Circuits for Soft Robots.

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  • 1Reconfigurable Robotics Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, 1015, Switzerland.

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Summary
This summary is machine-generated.

Researchers developed a novel digital fluidic circuit that mimics analog behavior, enabling tunable control over soft robot movements without redesigning the entire system.

Keywords:
analog fluidic circuitscomplementary metal-oxide-semiconductor-inspired fluidic circuitscontrollable fluidic self-oscillatorelectronics-free controllerssoft robotics

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Area of Science:

  • Robotics
  • Fluidics
  • Control Systems

Background:

  • Digital fluidic circuits are sought for electronics-free soft robot control.
  • Current digital fluidic circuits lack methods for amplitude/frequency modulation without structural redesign.
  • Achieving analog circuit-like behavior in digital fluidic systems is a key challenge.

Purpose of the Study:

  • To present a new approach for designing digital fluidic circuits with analog-like tunable characteristics.
  • To develop a pressure-controlled oscillator capable of modulating fluidic oscillation frequency.
  • To demonstrate the application of this circuit in controlling soft robotic systems.

Main Methods:

  • Modeling, designing, and prototyping a novel pressure-controlled oscillator using digitized fluidic gates.
  • Implementing a single, quasi-static pressure input for active tuning of circuit characteristics.
  • Integrating the developed circuit to control a soft earthworm robot.

Main Results:

  • Successfully demonstrated a digital fluidic circuit with tunable pressure gain, output amplitude, and time response.
  • Achieved modulation of fluidic oscillation frequency using a single pressure input.
  • Enhanced soft earthworm robot crawling speeds by up to twofold through active motion modulation.

Conclusions:

  • This work introduces a novel method for creating tunable digital fluidic circuits.
  • The developed pressure-controlled oscillator offers a new paradigm for intelligent pneumatic controllers.
  • This advancement contributes to the development of more comprehensive and adaptable soft robotic systems.