Literature DB >> 30983699

An Inductance-Based Sensing System for Bellows-Driven Continuum Joints in Soft Robots.

Wyatt Felt1, C David Remy1, Maria J Telleria2, Thomas F Allen2, Gabriel Hein2, Jonathan B Pompa2, Kevin Albert2.   

Abstract

In this work we present a novel, inductance-based system to measure and control the motion of bellows-driven continuum joints in soft robots. The sensing system relies on coils of wire wrapped around the minor diameters of each bellows on the joint. As the bellows extend, these coils of wire become more distant, decreasing their mutual inductance. Measuring this change in mutual inductance allows us to measure the motion of the joint. By dividing the sensing of the joint into two sections and measuring the motion of each section independently, we are able to measure the overall deformation of the joint with a piece-wise constant-curvature approximation. This technique allows us to measure lateral displacements that would be otherwise unobservable. When measuring bending, the inductance sensors measured the joint orientation with an RMS error of 1.1 °. The inductance sensors were also successfully used as feedback to control the orientation of the joint. The sensors proposed and tested in this work provided accurate motion feedback that would be difficult to achieve robustly with other sensors. This sensing system enables the creation of robust, self-sensing soft robots based on bellows-driven continuum joints.

Entities:  

Keywords:  Continuum Robots; Inductance Sensing; Soft Robotics

Year:  2018        PMID: 30983699      PMCID: PMC6456049          DOI: 10.1007/s10514-018-9769-7

Source DB:  PubMed          Journal:  Auton Robots        ISSN: 0929-5593            Impact factor:   3.000


  4 in total

1.  Design Considerations for 3D Printed, Soft, Multimaterial Resistive Sensors for Soft Robotics.

Authors:  Benjamin Shih; Caleb Christianson; Kyle Gillespie; Sebastian Lee; Jason Mayeda; Zhaoyuan Huo; Michael T Tolley
Journal:  Front Robot AI       Date:  2019-04-30

2.  A Vision-Based Sensing Approach for a Spherical Soft Robotic Arm.

Authors:  Matthias Hofer; Carmelo Sferrazza; Raffaello D'Andrea
Journal:  Front Robot AI       Date:  2021-02-26

3.  Improved Continuum Joint Configuration Estimation Using a Linear Combination of Length Measurements and Optimization of Sensor Placement.

Authors:  Levi Rupert; Timothy Duggan; Marc D Killpack
Journal:  Front Robot AI       Date:  2021-04-01

4.  Development of a Soft Robotics Module for Active Control of Sitting Comfort.

Authors:  Tjark Roozendaal; Martin Verwaal; Alice Buso; Rob B N Scharff; Yu Song; Peter Vink
Journal:  Micromachines (Basel)       Date:  2022-03-20       Impact factor: 2.891

  4 in total

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