Planning optimal force-closure grasps for curved objects by Genetic Algorithm

被引:0
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作者
Phoka, Thanathorn [1 ]
Niparnan, Nattee [1 ]
Sudsang, Attawith [1 ]
机构
[1] Chulalongkorn Univ, Fac Engn, Dept Comp Engn, Bangkok 10330, Thailand
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中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper describes the use or Genetic Algorithm to solve the problem of planning optimal force-closure grasps on 2D and 3D objects. The proposed approach searches for optimal grasps from parametric curves of a 2D object or parametric surfaces of a 3D object. The search method is based on the concept of Q distance which can guide the search direction to better solutions. On this metric, Genetic Algorithm can exploit the characteristic of Q distance to find optimal grasps by directly using the computation of Q distance as the fitness function. This approach is applied to plan optimal force-closure grasps on 2D and 3D curved objects with three and four contact points respectively.Preliminary results are also presented.
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页码:452 / +
页数:2
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