Preliminary evaluation of a new microsurgical robotic system for head and neck surgery

Kevin C. Olds, Preetham Chalasani, Paulette Pacheco-Lopez, Iulian Iordachita, Lee M. Akst, Russell H. Taylor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an implementation and evaluation of the Robotic ENT Microsurgery System (REMS). The implementation is discussed in reference to analysis from previous work, and evaluated using a simulated surgical task designed to resemble microlaryngeal phonosurgery. Preliminary technical evaluations of resolution and accuracy are also presented. The results of the evaluations reveal that the system statistically significantly improves surgical precision (p < 0.01) with only a small increase in operating time. The force data recorded also reveals that operating force can be significantly affected by ergonomic factors, and that warnings for excessive force and workspace limits are needed.

Original languageEnglish (US)
Title of host publicationIROS 2014 Conference Digest - IEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1276-1281
Number of pages6
ISBN (Electronic)9781479969340
DOIs
StatePublished - Oct 31 2014
Event2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014 - Chicago, United States
Duration: Sep 14 2014Sep 18 2014

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Other

Other2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014
Country/TerritoryUnited States
CityChicago
Period9/14/149/18/14

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Preliminary evaluation of a new microsurgical robotic system for head and neck surgery'. Together they form a unique fingerprint.

Cite this