DocumentCode
2401404
Title
An experiment in constraining vision-based finger contact selection with gripper geometry
Author
Morales, Antonio ; Sanz, Pedro J. ; Pobil, Ángel P del ; Fagg, Andrew H.
Author_Institution
Dept. of Eng. & Comput. Sci., Univ. Jaume I, Castello, Spain
Volume
2
fYear
2002
fDate
2002
Firstpage
1693
Abstract
Research in grasping and manipulation has mainly focused on the theoretical framework of the grasp analysis and synthesis, however there are few works in the practical implementation of these approaches. We propose several methods and criteria for constraining visually-selected planar grasps to the particular kinematics of a three finger gripper, the Barrett Hand. The method relies on the features of an object provided by a vision system, and uses several criteria for classifying the possible grasps according to the configurations of the gripper that fit them. It has been implemented on the UMass Torso and the results are discussed.
Keywords
dexterous manipulators; manipulator kinematics; robot vision; Barrett Hand; UMass Torso; grasp analysis; grasp classification; grasp synthesis; grasping; gripper geometry; manipulation; three-finger gripper kinematics; vision system; vision-based finger contact selection; visually-selected planar grasps; Computational geometry; Computer science; Fingers; Grippers; Head; Intelligent robots; Kinematics; Robot vision systems; Robustness; Torso;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
Print_ISBN
0-7803-7398-7
Type
conf
DOI
10.1109/IRDS.2002.1043999
Filename
1043999
Link To Document