DocumentCode :
2678784
Title :
Segmentation method of human manipulation task based on measurement of force imposed by a human hand on a grasped object
Author :
Matsuo, Kazuya ; Murakami, Kouji ; Hasegawa, Tsutomu ; Tahara, Kenji ; Kurazume, Ryo
Author_Institution :
Fac. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
fYear :
2009
fDate :
10-15 Oct. 2009
Firstpage :
1767
Lastpage :
1772
Abstract :
This paper proposes a segmentation method of human manipulation task based on measurement of contact force imposed by a human hand on a grasped object. We define an index measure for segmenting a human manipulation task into primitives. The indices are calculated from the set of the contact forces measured at all the contact points during a manipulation task. Then, we apply the EM algorithm to the set of the indices in order to segment the manipulation task into primitives. These primitives are mapped onto the robotic hand to impose appropriate contact forces on a grasped object. In the experiments, manipulation tasks performed in daily human life have been successfully segmented.
Keywords :
dexterous manipulators; expectation-maximisation algorithm; force measurement; EM algorithm; contact force measurement; human manipulation task segmentation; multijointed multifingered robotic hand; Fingers; Force measurement; Grasping; Humanoid robots; Humans; Intelligent robots; Shape; Taxonomy; Trajectory; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
Type :
conf
DOI :
10.1109/IROS.2009.5354069
Filename :
5354069
Link To Document :
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