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Data-driven comparison of four cutaneous displays for pinching palpation in robotic surgery

  • Jeremy D. Brown
  • , Mary Ibrahim
  • , Elyse D.Z. Chase
  • , Claudio Pacchierotti
  • , Katherine J. Kuchenbecker

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

Abstract

Current teleoperated surgical robots do not provide surgeons with haptic feedback, due in part to the safety risks associated with grounded kinesthetic forces. Ungrounded cutaneous feedback provides an elegant and inherently stable way to refer haptic feedback to the surgeon in such situations. Choosing the most appropriate display, however, is challenging given the substantial number of unique cutaneous displays presented in the literature. In this work, we demonstrate how measuring the space of tactile sensations that a device can create can be employed to objectively compare different cutaneous displays for a specific task. We built four cutaneous displays and compared their ability to render sensations measured while pinching four disparate materials with a biomimetic tactile sensor. As predicted, quantitative tactile rendering errors varied significantly across devices and materials. The results of this comparison can be used to design better cutaneous displays for pinching palpation in robotic surgery. Furthermore, the proposed approach could provide a useful tool for evaluating novel cutaneous devices for various other tactile tasks, providing an objective framework to supplement and guide future human subject studies.

Original languageEnglish (US)
Title of host publicationIEEE Haptics Symposium 2016, HAPTICS 2016 - Proceedings
EditorsSeungmoon Choi, Katherine J. Kuchenbecker, Greg Gerling
PublisherIEEE Computer Society
Pages147-154
Number of pages8
ISBN (Electronic)9781509009039
DOIs
StatePublished - Apr 29 2016
Externally publishedYes
Event24th IEEE Haptics Symposium 2016, HAPTICS 2016 - Philadelphia, United States
Duration: Apr 8 2016Apr 11 2016

Publication series

NameIEEE Haptics Symposium, HAPTICS
Volume2016-April
ISSN (Print)2324-7347
ISSN (Electronic)2324-7355

Conference

Conference24th IEEE Haptics Symposium 2016, HAPTICS 2016
Country/TerritoryUnited States
CityPhiladelphia
Period4/8/164/11/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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