Automated open wound suturing: detection and planning algorithm
- Artur Sagitov1, email@example.com, Tatyana Tsoy1, firstname.lastname@example.org, Hongbing Li2, email@example.com, Evgeni Magid1, firstname.lastname@example.orgIntelligent Robotics Department, Higher School of Information Technology and Information Systems, Kazan Federal University, Kremlyovskaya str. 35, Kazan, Russian Federation2Department of Instrument Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- Corresponding Author
- Artur Sagitovsagitov@it.kfu.ru
- https://doi.org/10.2991/jrnal.2018.5.2.16How to use a DOI?
- Robotics, robot assisted surgery, medical robotics, manipulator, algorithm, modelling, trajectory.
Today one of the key disadvantages of robotic surgery is a lack of a haptic feedback, while in traditional surgery a surgeon uses human haptic senses in all tasks. Providing robots with a haptic feedback have a high potential of reducing time that is spent by a surgeon on suturing subtasks and helping to reduce a surgeon fatigue. Decreasing manual input of a surgeon enables remote surgery even under long communication links with significant latency. In this paper we present a framework of wound detection and suture planning. We plan to implement and test our algorithms using KUKA iiwa manipulator.
- Copyright © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
Cite this article
TY - JOUR AU - Artur Sagitov AU - Tatyana Tsoy AU - Hongbing Li AU - Evgeni Magid PY - 2018 DA - 2018/09 TI - Automated open wound suturing: detection and planning algorithm JO - Journal of Robotics, Networking and Artificial Life SP - 144 EP - 148 VL - 5 IS - 2 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2018.5.2.16 DO - https://doi.org/10.2991/jrnal.2018.5.2.16 ID - Sagitov2018 ER -