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Genetic Algorithm-based Optimal Design Strategy of a Continuum Surgical Manipulator

机译:基于遗传算法的连续体手术机械手优化设计策略

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摘要

A novel wire-driven continuum surgical robot for laryngeal surgery is presented. The surgical robot is composed of a power transmission interface, a continuum manipulator, a surgical forceps and motors. The motion of the surgical robot is obtained by causing a controlled deformation in the continuum manipulator, which is the core part of the surgical robot. Therefore, the structural design optimization problem of continuum manipulators is solved in this paper. Based on the structure of the continuum manipulator, optimization objectives which include load-carrying capacity and secondary deformation are established. The non-dominant sorting genetic algorithm with elite strategy (NSGA-II) is adopted for multi-objective optimization. An experimental prototype is constructed based on the designed optimization results. The load-carrying and space-traversal capacity tests prove the effectiveness of the proposed optimization algorithm.
机译:提出了一种用于喉部手术的新型线驱动连续手术机器人。手术机器人由动力传输接口、连续机械手、手术钳和电机组成。手术机器人的运动是通过在连续机械手中引起受控变形而获得的,连续机械手是手术机器人的核心部分。因此,本文解决了连续介质机械臂的结构设计优化问题。基于连续介质机械臂的结构,建立了包括承载能力和二次变形在内的优化目标。采用基于精英策略的非优势排序遗传算法(NSGA-II)进行多目标优化。根据设计的优化结果构建了实验样机。承载力和空间遍历能力测试验证了所提优化算法的有效性。

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