4.7 Article

Design, Modeling, and Control of a 3D Printed Monolithic Soft Robotic Finger With Embedded Pneumatic Sensing Chambers

期刊

IEEE-ASME TRANSACTIONS ON MECHATRONICS
卷 26, 期 2, 页码 876-887

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMECH.2020.3009365

关键词

Soft robotics; Robot sensing systems; Three-dimensional displays; Fasteners; Thumb; 3D printing; monolithic robotic system; pneumatic chambers; soft robot control; soft robotic finger; soft sensors

资金

  1. ARC Centre of Excellence for Electromaterials Science [CE140100012]
  2. University of Wollongong, Australia

向作者/读者索取更多资源

This article presents a directly 3-D printed soft monolithic robotic finger with embedded soft pneumatic sensing chambers (PSC) as position and touch sensors. The soft hinges with embedded PSCs have several advantages, such as fast response to very small changes in their internal volume, linearity, negligible hysteresis, repeatability, reliability, long lifetime, and low power consumption. Real-time position and pressure/force control of the soft robotic finger were achieved using feedback signals from the soft hinges and the touch PSC embedded in the tip of the finger.
This article presents a directly 3-D printed soft monolithic robotic finger with embedded soft pneumatic sensing chambers (PSC) as position and touch sensors. The monolithic finger was fabricated using a low-cost and open-source fused deposition modeling 3-D printer that employs an off-the-shelf soft and flexible commercially available thermoplastic polyurethane. A single soft hinge with an embedded PSC was optimized using finite element modeling and a hyperelastic material model to obtain a linear relationship between the internal change in the volume of its PSC and the corresponding input mechanical modality, to minimize its bending stiffness and to maximize its internal volume. The soft hinges with embedded PSCs have several advantages, such as fast response to very small changes in their internal volume (similar to 0.0026ml/degrees), linearity, negligible hysteresis, repeatability, reliability, long lifetime, and low power consumption. Also, the flexion of the soft robotic finger was predicted using a geometric model for use in real-time control. The real-time position and pressure/force control of the soft robotic finger were achieved using feedback signals from the soft hinges and the touch PSC embedded in the tip of the finger. This article contributes to the development of seamlessly embedding optimized sensing elements in the monolithic topology of a soft robotic system and controlling the robotic system using the feedback data provided by the sensing elements to validate their performance.

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