Integrated Sensors for Soft Medical Robotics

© 2024 The Authors. Small published by Wiley-VCH GmbH..

Minimally invasive procedures assisted by soft robots for surgery, diagnostics, and drug delivery have unprecedented benefits over traditional solutions from both patient and surgeon perspectives. However, the translation of such technology into commercialization remains challenging. The lack of perception abilities is one of the obstructive factors paramount for a safe, accurate and efficient robot-assisted intervention. Integrating different types of miniature sensors onto robotic end-effectors is a promising trend to compensate for the perceptual deficiencies in soft robots. For example, haptic feedback with force sensors helps surgeons to control the interaction force at the tool-tissue interface, impedance sensing of tissue electrical properties can be used for tumor detection. The last decade has witnessed significant progress in the development of multimodal sensors built on the advancement in engineering, material science and scalable micromachining technologies. This review article provides a snapshot on common types of integrated sensors for soft medical robots. It covers various sensing mechanisms, examples for practical and clinical applications, standard manufacturing processes, as well as insights on emerging engineering routes for the fabrication of novel and high-performing sensing devices.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

Small (Weinheim an der Bergstrasse, Germany) - (2024) vom: 07. Jan., Seite e2308805

Sprache:

Englisch

Beteiligte Personen:

Qiu, Yulin [VerfasserIn]
Ashok, Aditya [VerfasserIn]
Nguyen, Chi Cong [VerfasserIn]
Yamauchi, Yusuke [VerfasserIn]
Do, Thanh Nho [VerfasserIn]
Phan, Hoang-Phuong [VerfasserIn]

Links:

Volltext

Themen:

Ingestible devices
Journal Article
MEMS
Review
Robot-assisted minimally invasive surgery
Soft medical robots
Soft sensors and electronics

Anmerkungen:

Date Revised 11.02.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1002/smll.202308805

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366763539