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Proceedings Paper

Error compensation algorithm for patient positioning robotics system
Author(s): Pilaka V. Murty; Ilie Talpasanu; Mugur A. Roz
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Paper Abstract

Surgeons in various medical areas (orthopedic surgery, neurosurgery, dentistry etc.) are using motor-driven drilling tools to make perforations in hard tissues (bone, enamel, dentine, cementum etc.) When the penetration requires very precise angles and accurate alignment with respect to different targets, precision cannot be obtained by using visual estimation and hand-held tools. Robots have been designed to allow for very accurate relative positioning of the patient and the surgical tools, and in certain classes of applications the location of bone target and inclination of the surgical tool can be accurately specified with respect to an inertial frame of reference. However, patient positioning errors as well as position changes during surgery can jeopardize the precision of the operation, and drilling parameters have to be dynamically adjusted. In this paper the authors present a quantitative method to evaluate the corrected position and inclination of the drilling tool, to account for translational and rotational errors in displaced target position. The compensation algorithm applies principles of inverse kinematics wherein a faulty axis in space caused by the translational and rotational errors of the target position is identified with an imaginary true axis in space by enforcing identity through a modified trajectory. In the absence of any specific application, this algorithm is verified on Solid Works, a commercial CAD tool and found to be correct. An example problem given at the end vindicates this statement.

Paper Details

Date Published: 31 March 2009
PDF: 12 pages
Proc. SPIE 7291, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2009, 72910P (31 March 2009); doi: 10.1117/12.815495
Show Author Affiliations
Pilaka V. Murty, West Texas A&M Univ. (United States)
Ilie Talpasanu, Wentworth Institute of Technology (United States)
Mugur A. Roz, Hellenic College (United States)

Published in SPIE Proceedings Vol. 7291:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2009
Vijay K. Varadan, Editor(s)

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