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Four-Dimensional Printing of Stimuli-Responsive Hydrogel-Based Soft Robots
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A 3D-Printed Soft Haptic Device with Built-in Force Sensing Delivering Bio-Mimicked Feedback.

Rahim Mutlu1,2, Dilpreet Singh3, Charbel Tawk4

  • 1Faculty of Engineering and Information Sciences, University of Wollongong in Dubai, Dubai P.O. Box 20183, United Arab Emirates.

Biomimetics (Basel, Switzerland)
|March 28, 2023
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Summary
This summary is machine-generated.

This study introduces SoHapS, a novel 3D-printed haptic device for neurological rehabilitation and human-computer interfaces. It effectively substitutes biofeedback with tactile and proprioceptive information in teleoperation tasks.

Keywords:
3D printingbio-mimeticsbiofeedbackhapticshuman–computer interfaceproprioceptionsoft hapticssoft sensingtactile feedbackwearable robotics

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Area of Science:

  • Robotics and Human-Computer Interaction
  • Biomedical Engineering
  • Materials Science

Background:

  • Haptics is crucial for neurological rehabilitation and human-computer interfaces (HCIs), especially in emerging metaverse applications.
  • Existing haptic devices often lack the integration and low-cost manufacturability required for widespread adoption.
  • Soft robotics offers potential for more intuitive and adaptable haptic feedback systems.

Purpose of the Study:

  • To develop and characterize a novel, soft, monolithic haptic feedback device (SoHapS).
  • To demonstrate the device's capability in substituting biofeedback for teleoperation.
  • To explore SoHapS's potential applications in rehabilitation and extended reality (XR) systems.

Main Methods:

  • Fabrication of SoHapS using fused deposition modeling (FDM) 3D printing with soft thermoplastic polyurethane (TPU) materials.
  • Optimization of the soft bellow actuator and resistive force sensor using finite element modeling (FEM).
  • Mechanical and electrical characterization, and dynamic model development for force output prediction.

Main Results:

  • Successful fabrication of a soft, monolithic haptic device (SoHapS) using low-cost FDM 3D printing.
  • Demonstrated efficacy of SoHapS in replacing biofeedback (gripping force, finger position) during teleoperation.
  • Characterization confirmed device performance, and a dynamic model accurately predicted force output.

Conclusions:

  • SoHapS offers a unique, low-cost, and adaptable solution for haptic feedback.
  • The device shows significant potential for integration into rehabilitation robots, prosthetics, and AR/VR/MR systems.
  • SoHapS can provide essential bio-mimicked feedback, enhancing user experience and therapeutic outcomes.