DocumentCode :
2337853
Title :
VIsion force control in task-oriented grasping and manipulation
Author :
Prats, Mario ; Martinet, Philippe ; del Pobil, Angel P. ; Lee, Sukhan
Author_Institution :
Sungkyunkwan Univ., Suwon
fYear :
2007
fDate :
Oct. 29 2007-Nov. 2 2007
Firstpage :
1320
Lastpage :
1325
Abstract :
In this paper, we present a novel approach for sensor-guided robotic execution of everyday tasks, which is amenable to be integrated in current mobile manipulators and humanoid robots. We consider a robot which is observing simultaneously his hand and the object to manipulate, by using an external camera (i.e. robot head). Task-oriented grasping algorithms are used in order to plan a suitable grasp on the object according to the task to perform. A new vision/force coupling approach [1] is used in order to, first, guide the robot hand towards the grasp position and, second, perform the task taking into account external forces. Experimental results on a real robot are presented which validate our approach.
Keywords :
force control; humanoid robots; manipulators; mobile robots; robot vision; service robots; force control; mobile manipulator; sensor-guided humanoid robot; task-oriented grasping algorithm; vision control; Cameras; Force control; Grasping; Humanoid robots; Intelligent robots; Manipulators; Mobile robots; Robot sensing systems; Robot vision systems; Visual servoing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-0912-9
Electronic_ISBN :
978-1-4244-0912-9
Type :
conf
DOI :
10.1109/IROS.2007.4399256
Filename :
4399256
Link To Document :
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