首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Recognizing polygonal parts from width measurements
Authors:Esther M Arkin  Martin Held  Joseph SB Mitchell  Steven S Skiena
Institution:

a Department of Applied Mathematics and Statistics, State University of New York, Stony Brook, NY 11794-3600, USA

b Institut für Computerwissenschaften, Universität Salzburg, A-5020, Salzburg, Austria

c Department of Computer Science, State University of New York, Stony Brook, NY 11794-4400, USA

Abstract:Automatic recognition of parts is an important problem in many industrial applications. One model of the problem is: given a finite set of polygonal parts, use a set of “width” measurements taken by a parallel-jaw gripper to determine which part is present. We study the problem of computing efficient strategies (“grasp plans”), with the goal to minimize the number of measurements necessary in the worst case. We show that finding a minimum length grasp plan is Image -hard, and give a polynomial time approximation algorithm that is simple and produces a solution that is within a log factor from optimal.
Keywords:Robotics  Grasping  Object recognition  Decision tree  Approximation algorithm
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号