Optimal link design of a six degree of freedom micro parallel robot based on workspace analysis

Abstract

In this paper a mono-objective optimum design procedure for a six-degree of freedom parallel micro robot is outlined by using optimality criterion of workspace and numerical aspects. A mono-objective optimization problem is formulated by referring to a basic performance of parallel robots. Additional objective functions can be used to extend the proposed design procedure to more general but specific design problems. A kinematic optimization was performed to maximize the workspace of the mini parallel robot. Optimization was performed using Genetic Algorithms. It is concluded that the optimal design method is useful for the design of a six degree of freedom micro parallel robot.

Design Optimization, Analysis, and Control of Walking Robots

“…The majority of the literature on design optimization of robotic manipulators use nonlinear and nonconvex methods to attack the problem. A brief account of such methods include the culling algorithm [2,3,4], different variations of the genetic algorithm [5,6,7,8], the differential evolution algorithm [9], performance-chart based methods [10], workspace atlases [11], controlled random search technique [12], and Monte Carlo method [13,14]. These methods have relative strengths and weaknesses;…”