Key Posture Extraction from Object Manipulations Experiments

In this work we present a novel concept for key posture by looking for grasping similarities among several grasping experiments. To highlight the nature of key posture idea, the object used in experiment had different sizes, although share the same type. Grouping the extracted data by joint, we sear...

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Bibliographic Details
Published inAdvanced engineering forum Vol. 2-3; pp. 308 - 313
Main Authors B. Melo, Nicholas, Watanabe, Tetsuyou
Format Journal Article
LanguageEnglish
Published Trans Tech Publications Ltd 01.01.2012
Subjects
Key Posture
Robotic Learning
Grasping Experiment
Robotic Hand
Grasping Patterns
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Summary:In this work we present a novel concept for key posture by looking for grasping similarities among several grasping experiments. To highlight the nature of key posture idea, the object used in experiment had different sizes, although share the same type. Grouping the extracted data by joint, we search for time interval with high data concentration. If this time interval is shared by many joints in the same experiment we can extract key posture from that interval. The key posture can help a robotic hand system to grasp, control and manipulate the object through a specific task.
Bibliography:Selected, peer reviewed papers from the 2011 International Conference on Mechatronics and Information Technology, (ICMIT 2011), August 16-19, 2011, Shenyang, China
ISSN:2234-9898
2234-991X
2234-991X
DOI:10.4028/www.scientific.net/AEF.2-3.308