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Haptic technology for micro-robotic cell injection training systems — a review

Faroque, Syafizwan, Horan, Ben, Adam, Husaini, Pangestu, Mulyoto and Joordens, Matthew 2016, Haptic technology for micro-robotic cell injection training systems — a review, Intelligent automation & soft computing, vol. 22, no. 3, pp. 509-523, doi: 10.1080/10798587.2015.1109200.

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Title Haptic technology for micro-robotic cell injection training systems — a review
Author(s) Faroque, Syafizwan
Horan, BenORCID iD for Horan, Ben
Adam, Husaini
Pangestu, Mulyoto
Joordens, MatthewORCID iD for Joordens, Matthew
Journal name Intelligent automation & soft computing
Volume number 22
Issue number 3
Start page 509
End page 523
Total pages 15
Publisher Taylor and Francis
Place of publication Abingdon, Eng.
Publication date 2016
ISSN 1079-8587
Keyword(s) bio-engineering
cell injection
skills training
virtual reality
Summary Currently, the micro-robotic cell injection procedure is performed manually by expert human bio-operators. In order to be proficient at the task, lengthy and expensive dedicated training is required. As such, effective specialized training systems for this procedure can prove highly beneficial. This paper presents a comprehensive review of haptic technology relevant to cell injection training and discusses the feasibility of developing such training systems, providing researchers with an inclusive resource enabling the application of the presented approaches, or extension and advancement of the work. A brief explanation of cell injection and the challenges associated with the procedure are first presented. Important skills, such as accuracy, trajectory, speed and applied force, which need to be mastered by the bio-operator in order to achieve successful injection, are then discussed. Then an overview of various types of haptic feedback, devices and approaches is presented. This is followed by discussion on the approaches to cell modeling. Discussion of the application of haptics to skills training across various fields and haptically-enabled virtual training systems evaluation are then presented. Finally, given the findings of the review, this paper concludes that a haptically-enabled virtual cell injection training system is feasible and recommendations are made to developers of such systems.
Language eng
DOI 10.1080/10798587.2015.1109200
Field of Research 090602 Control Systems, Robotics and Automation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, TSI Press
Free to Read? No
Free to Read Start Date 2018-01-01
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Document type: Journal Article
Collection: School of Engineering
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