DocumentCode
2586919
Title
Optimization of dual-arm configurations for multiple object handling
Author
Lee, Howon ; Sohn, Junbae ; Lee, Jangmyung
fYear
2012
fDate
28-31 May 2012
Firstpage
1291
Lastpage
1296
Abstract
This paper proposes a stability analysis criterion for the multiple objects handling operation of dual arm manipulator to make optimal postures. When the dual-arm manipulator grasps a fixed object to carry it to a desired location, the dual-arm manipulator should hold the object stably and efficiently without losing the control. As a performance evaluation parameter, joint torque data from current sensors are utilized. From the current information, torque and power consumption in each joint are estimated. In this paper an optimal posture for an unstructured object is defined by a cost function formed by three factors: the holding forces, manipulability measure, and the power consumption. For the stable grasp, the forces of the dual-arm manipulators and the gravity force need to be well-balanced to make it minimum. The grasping force to the object is computed by using the pointing vector to the object and the joint torque. Manipulability measure which implies how efficiently the dual -arm manipulator can move the holding object together, can be represented by the intersection of the two manipulability ellipsoids for the left and right arms. Effectiveness of the proposed algorithm has been verified through the real experiments.
Keywords
manipulator dynamics; optimisation; power consumption; torque control; current sensors; dual arm manipulator; dual-arm configurations; grasping force; gravity force; holding forces; manipulability ellipsoids; multiple object handling; optimal postures; optimization; performance evaluation parameter; power consumption; stability analysis; torque; unstructured object; Ellipsoids; Force; Grasping; Joints; Manipulators; Service robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics (ISIE), 2012 IEEE International Symposium on
Conference_Location
Hangzhou
ISSN
2163-5137
Print_ISBN
978-1-4673-0159-6
Electronic_ISBN
2163-5137
Type
conf
DOI
10.1109/ISIE.2012.6237276
Filename
6237276
Link To Document