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A haptic surface scanning and machining parallel manipulator for registration-free bone resurfacing during arthroplasty

I. Gertler, Y. Shapiro, A. Wolf

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As orthopaedic implants become more sophisticated and complex, shaping the bone surface to match the implant becomes increasingly important. Accurate bone machining contributes to success of the implant and can potentially increase the implant's endurance and lifetime. Bone-mounted robots can eliminate intra-operative tracking errors during bone machining. However, registration errors still exist when aligning the pre-operative plan with the patient's anatomy because the plan is based on pre-operative images. Thus, a robotic system that is capable of executing both surface acquisition and bone machining in a single procedure and within the same coordinate system is preferable to the current state of the art. In this study we used a mini bone-attached robotic system (MBARS) with a haptic interface, to examine the accuracy of force-controlled surface acquisition of a femur model. The average distance error between acquired points and the surface model was less than 1 mm, which was further reduced by 5% with a compensation method which included curvature estimation of the reconstructed surface. An initial evaluation of in-situ bone machining based on these force-controlled scans yielded promising results.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Robotics and Automation, ICRA 2013
Pages2347-2352
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Robotics and Automation, ICRA 2013 - Karlsruhe, Germany
Duration: 6 May 201310 May 2013

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation

Conference

Conference2013 IEEE International Conference on Robotics and Automation, ICRA 2013
Country/TerritoryGermany
CityKarlsruhe
Period6/05/1310/05/13

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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