Computing robot configurations using a genetic algorithm formultimodal optimization

摘要

This paper describes a general approach for robot inversekinematic transformation, which computes all possible solutions of thismultimodal problem. A function which computes the error between two toolcenter points (TCPs) is minimized by an advanced genetic algorithm. Thismulti-population genetic algorithm uses exchange and migration operatorsfor computing all solutions of multimodal optimization problems