Manipulability Analysis and RCM Position Optimization for Laparoscopic Operations Using a Simplified Planar 4-DoF Surgical Robot Mechanism

The article presents the results of a manipulability analysis and optimal remote center of motion (RCM) frame placement based on the manipulability index for a simplified model of a planar laparoscopic surgical robot system with a control-based RCM constraint. The paper presents an analytical kinematic model of the planar laparoscopic surgical robot system, a method for computing a manipulability objective taking into account the RCM constraint, and a formulation of the optimization problem used to establish the optimal placement of the system with respect to the task. The presented results are backed by a sensitivity analysis measuring the influence of parameter uncertainty on the value of the objective.

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Publication Details

Journal
Applied Sciences
Published
2026-03-16
DOI
https://doi.org/10.3390/app16062858
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
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article

Manipulability Analysis and RCM Position Optimization for Laparoscopic Operations Using a Simplified Planar 4-DoF Surgical Robot Mechanism

Vassilis C. Moulianitis, Roman Trochimczuk, Adam Wolniakowski, Charalampos Valsamos et al.
Applied Sciences
Soft Robotics and Applications
article

Manipulability Analysis and RCM Position Optimization for Laparoscopic Operations Using a Simplified Planar 4-DoF Surgical Robot Mechanism

Vassilis C. Moulianitis, Roman Trochimczuk, Adam Wolniakowski, Charalampos Valsamos, Zhuoqi Cheng, Kanstantsin Miatliuk, Michał Kuciej
article en

Abstract

The article presents the results of a manipulability analysis and optimal remote center of motion (RCM) frame placement based on the manipulability index for a simplified model of a planar laparoscopic surgical robot system with a control-based RCM constraint. The paper presents an analytical kinematic model of the planar laparoscopic surgical robot system, a method for computing a manipulability objective taking into account the RCM constraint, and a formulation of the optimization problem used to establish the optimal placement of the system with respect to the task. The presented results are backed by a sensitivity analysis measuring the influence of parameter uncertainty on the value of the objective.

Applied SciencesVol. 16(6)
Bialystok University of Technology (PL), University of Peloponnese (GR), University of Southern Denmark (DK), Maersk (Denmark) (DK), University of the Aegean (GR)
Openalex Percentile: Top 20%
Soft Robotics and Applications
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