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Choice of handedness and automated suturing for anthropomorphic dual-arm surgical robots

Published online by Cambridge University Press:  04 June 2014

Jienan Ding
Affiliation:
Hstar Technologies, 625 Mount Auburn Street, Cambridge, MA 02138, USA
Nabil Simaan*
Affiliation:
Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA
*
*Corresponding author. E-mail: nabil.simaan@vanderbilt.edu

Summary

Laparoscopic and Single Port Access Surgery (SPAS) present unique dexterity challenges related to dual-arm operations in confined spaces and tele-manipulation of highly dexterous surgical slaves. In an effort to reduce tele-manipulation burden, new paradigms for semi-automating surgical tasks are needed. This paper presents a new minimal constraint suturing and automated choice of handedness for anthropomorphic dual-arm robots. The automated choice of handedness supports surgeons during tele-manipulation of complex robotic slaves where dexterity and workspace constraints are difficult to learn. This criterion is also used to support automated dual-arm rendezvous for quicker suture exchange during dual-arm suturing. The minimal constraint algorithm presented in this paper allows surgeons to operate within a shared-control tele-manipulation framework whereby the surgeon controls the needle insertion speed and the robot controls the needle orientation while respecting a minimalistic set of tissue constraints. This framework is evaluated on a novel insertable robotic end-effectors platform for SPAS. A simulation study demonstrates the effectiveness of the automated choice of handedness criterion through a study of dexterity limitations of each arm. Additional simulations show the proposed algorithm for automated rendezvous and suture exchange.

Type
Articles
Copyright
Copyright © Cambridge University Press 2014 

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