You are not logged in.
Openly accessible

Large-scale virtual reality micro-robotic cell injection training

Faroque, Syafizwan, Horan, Ben, Mortimer, Michael and Pangestu, Mulyoto 2016, Large-scale virtual reality micro-robotic cell injection training, in WAC 2016 : Proceedings of the World Automation Congress, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/WAC.2016.7583006.

Attached Files
Name Description MIMEType Size Downloads
faroque-largescale-post-2016.pdf Accepted version application/pdf 476.99KB 4

Title Large-scale virtual reality micro-robotic cell injection training
Author(s) Faroque, SyafizwanORCID iD for Faroque, Syafizwan orcid.org/0000-0002-8241-6274
Horan, BenORCID iD for Horan, Ben orcid.org/0000-0002-6723-259X
Mortimer, Michael
Pangestu, Mulyoto
Conference name World Automation. Congress (2016 : Puerto Rico)
Conference location Puerto Rico
Conference dates 31 Jul - 8 Aug. 2016
Title of proceedings WAC 2016 : Proceedings of the World Automation Congress
Publication date 2016
Conference series World Automation Congress
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) micro-robot
cell injection
virtual reality
haptics
skill training
Summary Currently the micro-robotic cell injection procedure is performed manually by professional bio-operators. It is a challenging task requiring advanced skills including the ability to precisely control the movement of a micropipette. Developing these skills requires both lengthy and intensive training, and significant practical experience. This paper extends upon our previous work in desktop Virtual Reality (VR) cell injection training to introduce a large-scale VR micro-robotic cell injection system. Through utilization of large visual displays and the large workspace INCA 6D haptic device, the proprioception related to large arm movements (and corresponding visual representation) and the resulting movement of the micropipette in relation to the cell aims to provide the user with a better understanding of the spatial relationship between the micropipette and cell. The haptic device can be operated either with or without haptic guidance. When enabled, haptic guidance is provided in the form of virtual fixtures (VFs) and force feedback to assist the user in following the ideal trajectory towards the penetration point, applying appropriate force for penetration and stopping the micropipette's tip at the suitable deposition point. A user evaluation was conducted to study the usability of the system. Eighteen participants took part in the experiments and were randomly divided into six groups based on the display and haptic guidance modes assigned. The results demonstrated that the large-scale VR micro-robotic cell injection system is a feasible and effective method for bio-operator training where it is suggested that the skills and knowledge acquired can be transferred to the real-world task.
ISBN 9781889335513
ISSN 2154-4824
2154-4832
Language eng
DOI 10.1109/WAC.2016.7583006
Field of Research 090602 Control Systems, Robotics and Automation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090328

Document type: Conference Paper
Collections: School of Engineering
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 38 Abstract Views, 6 File Downloads  -  Detailed Statistics
Created: Wed, 05 Apr 2017, 10:07:31 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.