Laser-Profiled Continuum Robot with Integrated Tension Sensing for Simultaneous Shape and Tip Force Estimation

The development of miniaturized continuum robots has a wide range of applications in minimally invasive endoluminal interventions. To navigate inside tortuous lumens without impinging on the vessel wall and causing tissue damage or the risk of perforation, it is necessary to have simultaneous shape sensing of the continuum robot and its tip contact force sensing with the surrounding environment. Miniaturization and size constraint of the device have precluded the use of conventional sensing hardware and embodiment schemes. In this study, we propose the use of optical fibers for both actuation and tension/shape/force sensing. It uses a model-based method with structural compensation, allowing direct measurement of the cable tension near the base of the manipulator without increasing the dimensions. It further structurally filters out disturbances from the flexible shaft. In addition, a model is built by considering segment differences, cable interactions/cross talks, and external forces. The proposed model-based method can simultaneously estimate the shape of the manipulator and external force applied onto the robot tip. Detailed modeling and validation results demonstrate the accuracy and reliability of the proposed method for the miniaturized continuum robot for endoluminal intervention.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:7

Enthalten in:

Soft robotics - 7(2020), 4 vom: 01. Aug., Seite 421-443

Sprache:

Englisch

Beteiligte Personen:

Gao, Anzhu [VerfasserIn]
Liu, Ning [VerfasserIn]
Shen, Mali [VerfasserIn]
E M K Abdelaziz, Mohamed [VerfasserIn]
Temelkuran, Burak [VerfasserIn]
Yang, Guang-Zhong [VerfasserIn]

Links:

Volltext

Themen:

Continuum robot
Endoluminal intervention
Journal Article
Modeling
Shape and force sensing
Tension-sensing cable

Anmerkungen:

Date Completed 21.04.2022

Date Revised 21.04.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1089/soro.2019.0051

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM306716690