Hierarchical Design for Distributed MOPSO Using Sub-Swarms Based on a Population Pareto Fronts Analysis for the Grasp Planning Problem

被引：0
作者：
Fdhila, Raja [1 ]
Walha, Chiraz [1 ]
Hamdani, Tarek M. [1 ,2 ]
Alimi, Adel M. [1 ]
机构：
[1] Univ Sfax, Natl Engn Sch Sfax ENIS, ReGIM Res Grp Intelligent Machines, Sfax 3038, Tunisia
[2] Taibah Univ, Coll Sci & Arts Al Ula, Al Madinah Al Munawwarah, Saudi Arabia
来源：
2013 13TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS) | 2013年
关键词：
Multiobjective Optimization; PSO; distributed architecture; ranking pareto principle; robotic hand; grasp problem;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper discusses the use of intelligent technology to solve the problem of grasp planning known as a difficult problem. The scope aims to find points of contact between a five-fingered hand and an object. In this paper, we applied a new hierarchical approach for distributed Multi-Objective Particles Swarms Optimization, based on dynamic subdivision of the population using Pareto fronts (pbMOPSO) for the optimization of the grasp planning problem. The problem is based on simultaneous optimization of two objectives functions. The first objective is to explore the space of skillful manipulation of a robot hand with five fingers and find the best configuration of the fingers by minimizing the distance between the center of mass of the object and the center of the contact polyhedron. The second evaluation function is to maximize another quality measure that is related to the angles defining a configuration of the hand. An experimental study done with the HandGrasp simulator has shown a better performance of our algorithm to solve the grasp planning problem.
引用
收藏
页码：203 / 208
页数：6
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