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Multi-optimization of a spherical mechanism for minimally invasive surgery

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【作者】 牛国君潘博张福海封海波付宜利

【Author】 NIU Guo-jun;PAN Bo;ZHANG Fu-hai;FENG Hai-bo;FU Yi-li;State Key Laboratory of Robotics and System, Harbin Institute of Technology;

【机构】 State Key Laboratory of Robotics and System, Harbin Institute of Technology

【摘要】 In order to obtain the remote center motion(RCM) mechanism with better performance indexes and avoid the collision of multi-manipulators in minimally invasive surgery(MIS), a novel multi-objective optimization model was presented. There were two optimization objectives: a global kinematic performance index and a comprehensive stiffness index. Other indexes to characterize the design requirements such as collision probability, workspace, mechanism parameter, mass, and wall thickness were considered as constraints. Angles between two adjacent joints and cross-section dimensions of links were chosen as the design variables. The non-dominated sorting genetic algorithm II(NSGA-II) was adopted to solve the complex multi-objective optimization problem. Then, a 3-degree of freedom(DoF) MIS robotic prototype based on optimization results has been built up. The experiments to test the spatial position change of the remote center point and to test the absolute position accuracy and repetitive position accuracy of the MIS robot were achieved, and the experimental results meet the requirements of MIS.

【Abstract】 In order to obtain the remote center motion(RCM) mechanism with better performance indexes and avoid the collision of multi-manipulators in minimally invasive surgery(MIS), a novel multi-objective optimization model was presented. There were two optimization objectives: a global kinematic performance index and a comprehensive stiffness index. Other indexes to characterize the design requirements such as collision probability, workspace, mechanism parameter, mass, and wall thickness were considered as constraints. Angles between two adjacent joints and cross-section dimensions of links were chosen as the design variables. The non-dominated sorting genetic algorithm II(NSGA-II) was adopted to solve the complex multi-objective optimization problem. Then, a 3-degree of freedom(DoF) MIS robotic prototype based on optimization results has been built up. The experiments to test the spatial position change of the remote center point and to test the absolute position accuracy and repetitive position accuracy of the MIS robot were achieved, and the experimental results meet the requirements of MIS.

【基金】 Project(SS2012AA041601)supported by the National High Technology Research and Development Program of China;Project(81201150)supported by the National Natural Science Foundation of China
  • 【文献出处】 Journal of Central South University ,中南大学学报(英文版) , 编辑部邮箱 ,2017年06期
  • 【分类号】R616;TP242
  • 【被引频次】3
  • 【下载频次】47
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