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Resistive Self-Sensing Controllable Fabric-Based Actuator: A Novel Approach to Creating Anisotropy

  • Istanbul Technical University
  • Marmara University

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

Designing advanced soft robots with soft sensing capabilities for real-world applications remains challenging due to the intricate integration of actuation and sensor capabilities, which require diverse materials and complex procedures. This paper introduces a fabric-based robotic technology featuring an “all textile-based self-sensing pneumatic actuator” and a low-cost resistive strain sensor created through simple sewing techniques. The novel approach eliminates the need for additional strain-limiting woven fabric, simplifying the manufacturing process. It also enables the development of bioinspired motions such as bending, twisting, and snake-like movements. The electromechanical behaviors of the sensor and bending actuator are tested for their performance under positive air pressure. Through mathematical modeling, the actuator's sensing capacity is estimated accurately, providing precise feedback for pressure and position control. Different closed-loop controller types, including On–Off and Proportional Integral Derivative (PID) control, are evaluated for their effectiveness. Furthermore, the practical application of the sensing actuator is demonstrated by integrating it into a wearable glove, showcasing its enhanced sensing capabilities for finger-like soft wearable robotic applications. This research tackles the challenges associated with designing advanced soft robots with integrated sensing capabilities, offering a promising fabric-based solution that can drive significant advancements in real-world applications.

Original languageEnglish
Article number2300108
JournalAdvanced Sensor Research
Volume3
Issue number7
DOIs
Publication statusPublished - Jul 2024

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Advanced Sensor Research published by Wiley-VCH GmbH.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • bioinspired soft robotics
  • resistive strain sensors
  • self-sensing actuators
  • sensors
  • soft actuators
  • soft robotics
  • textile-based actuators

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