DocumentCode :
2194058
Title :
Planning Optimal Force-Closure Grasps for Curved Objects
Author :
Phoka, Thanathorn ; Niparnan, Nattee ; Sudsang, Attawith
Author_Institution :
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok
fYear :
2006
fDate :
17-20 Dec. 2006
Firstpage :
721
Lastpage :
726
Abstract :
This paper investigates the use of various optimization algorithms for solving the problem of planning optimal three-finger force-closure grasps on curved objects. The optimization aims at minimizing the Q distance function which had been shown in the literature to directly reflect quality of grasps and possess function´s smoothness suitable for optimization processes. Four optimization methods including genetic algorithm, evolution strategy, conjugate gradient method and downhill simplex method are investigated. Experimental results are presented along with efficiency comparison of the selected methods.
Keywords :
conjugate gradient methods; dexterous manipulators; genetic algorithms; minimisation; planning; Q distance function minimisation; conjugate gradient method; curved objects; downhill simplex method; evolution strategy; genetic algorithm; optimal three-finger force-closure grasp planning; optimization algorithms; Biomimetics; Fingers; Genetic algorithms; Gradient methods; Humanoid robots; Linearity; Optimization methods; Resists; Search methods; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics, 2006. ROBIO '06. IEEE International Conference on
Conference_Location :
Kunming
Print_ISBN :
1-4244-0570-X
Electronic_ISBN :
1-4244-0571-8
Type :
conf
DOI :
10.1109/ROBIO.2006.340295
Filename :
4141954
Link To Document :
بازگشت