Literature DB >> 26804489

A modular force-controlled robotic instrument for minimally invasive surgery - efficacy for being used in autonomous grasping against a variable pull force.

Seyed Mohsen Khadem1,2, Saeed Behzadipour1, Alireza Mirbagheri3, Farzam Farahmand1,2.   

Abstract

BACKGROUND: Many deficiencies of minimally invasive robotic surgery systems can be eliminated by using automated laparoscopic tools with force measurement and control capability.
METHOD: A fully modular, automated laparoscopic instrument with a proximal force sensory system was designed and fabricated. The efficacy of the instrument was evaluated experimentally when functioning in an autonomous force-controlled grasping scheme.
RESULTS: The designed instrument was shown to work easily with standard laparoscopic tools, with the whole distal part detachable for autoclave sterilization. The root mean squared error (RMSE) of the actual pinch force from the target ramp was 0.318 N; it was 0.402 N for a sinusoidal pull force, which dropped by 21% using a static friction compensation. A secure grasping condition was achieved, in spite of this error, by applying a sufficiently large margin from the slip boundary.
CONCLUSIONS: With a simple and practical design, the instrument enjoys affordability, versatility and autoclave sterilizability for clinical usage, with an acceptable performance for being used in an auto-grasping control scheme.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Keywords:  auto-grasp; force control; laparoscopic instrument; minimally invasive surgery; robotic surgery

Mesh:

Year:  2016        PMID: 26804489     DOI: 10.1002/rcs.1727

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  1 in total

Review 1.  Tactile Sensing for Minimally Invasive Surgery: Conventional Methods and Potential Emerging Tactile Technologies.

Authors:  Wael Othman; Zhi-Han A Lai; Carlos Abril; Juan S Barajas-Gamboa; Ricard Corcelles; Matthew Kroh; Mohammad A Qasaimeh
Journal:  Front Robot AI       Date:  2022-01-07
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.