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Structural and gait optimization of a hexapod robot with Particle Swarm Optimization

机译:基于粒子群算法的六足机器人的结构和步态优化

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The aim of this paper is to introduce a novel method for determining the structure and dimensions of a walking robot using an optimization method. With this solution the parameters of the robot's gait algorithm can also be fine-tuned. Prior to the construction of the authors' latest robot called Szabad(ka) II, a sophisticated modeling was carried out. With the help of this model, the functionality of the robot could be checked before the manufacturing process. Until recently modeling has been used mostly for the verification of the construction, but as the next step it will be used for defining the structure and dimensions. The definition of the optimal parameters can be solved with optimization methods. The Particle Swarm Optimization (PSO) meets the expectations.
机译:本文的目的是介绍一种使用优化方法确定步行机器人的结构和尺寸的新方法。通过这种解决方案,机器人步态算法的参数也可以进行微调。在构建作者的最新机器人Szabad(ka)II之前,先进行了复杂的建模。借助该模型,可以在制造过程之前检查机器人的功能。直到最近,建模主要用于验证结构,但下一步将用于定义结构和尺寸。最佳参数的定义可以通过优化方法来解决。粒子群优化(PSO)达到了预期。

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