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Advanced medical micro-robotics for early diagnosis and therapeutic interventions

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Title: Advanced medical micro-robotics for early diagnosis and therapeutic interventions
Authors: Zhang, D
Gorochowski, TE
Marucci, L
Lee, H-T
Gil, B
Li, B
Hauert, S
Yeatman, E
Item Type: Journal Article
Abstract: Recent technological advances in micro-robotics have demonstrated their immense potential for biomedical applications. Emerging micro-robots have versatile sensing systems, flexible locomotion and dexterous manipulation capabilities that can significantly contribute to the healthcare system. Despite the appreciated and tangible benefits of medical micro-robotics, many challenges still remain. Here, we review the major challenges, current trends and significant achievements for developing versatile and intelligent micro-robotics with a focus on applications in early diagnosis and therapeutic interventions. We also consider some recent emerging micro-robotic technologies that employ synthetic biology to support a new generation of living micro-robots. We expect to inspire future development of micro-robots toward clinical translation by identifying the roadblocks that need to be overcome.
Issue Date: 10-Jan-2023
Date of Acceptance: 15-Dec-2022
URI: http://hdl.handle.net/10044/1/104103
DOI: 10.3389/frobt.2022.1086043
ISSN: 2296-9144
Publisher: Frontiers Media S.A.
Start Page: 1
End Page: 19
Journal / Book Title: Frontiers in Robotics and AI
Volume: 9
Copyright Statement: Copyright © 2023 Zhang, Gorochowski, Marucci, Lee, Gil, Li, Hauert and Yeatman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Publication Status: Published
Article Number: 1086043
Online Publication Date: 2023-01-10
Appears in Collections:Faculty of Medicine
Department of Brain Sciences
Faculty of Natural Sciences
Faculty of Engineering



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