An image-based uterus positioning interface using ADALINE networks for robot-assisted hysterectomy

Hiu Man Yip, David Navarro-Alarcon, Yun Hui Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Surgical manipulators are becoming more popular in modern operating theatres. Robots which work side-by-side with the surgeon and perform supportive tasks are one of the examples. However, how to allow the user to control the robot in a user-friendly manner is challenging. In this paper, we present our work on developing an image-based adaptive user interface to control a robot which assist in uterus positioning during laparoscopic hysterectomy for the hand-busy surgeon. The presented interface can be operated in two different modes, the pick and place mode, and the command specifying mode. Under the pick and place mode, the user specifies the desired starting point and ending point of the manipulation with his/her eyes and the robot drives automatically based on these points specified by the user; under the command specifying mode, the user specifies which joint and in which direction to move by looking at features of the laparoscopic monitor, then a driving command would be sent to the robot. Details of these two control approaches and the experimental results demonstrating how they work in uterus positioning are presented.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages182-187
Number of pages6
ISBN (Electronic)9781538620342
DOIs
Publication statusPublished - 9 Mar 2018
Externally publishedYes
Event2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017 - Okinawa, Japan
Duration: 14 Jul 201718 Jul 2017

Publication series

Name2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017
Volume2017-July

Conference

Conference2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017
Country/TerritoryJapan
CityOkinawa
Period14/07/1718/07/17

Keywords

  • robotics
  • control
  • neural networks

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence

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