DocumentCode
2354242
Title
Recognizing object surface properties using impedance perception
Author
Kikuuwe, Ryo ; Yoshikawa, Tsuneo
Author_Institution
Dept. of Mech. Eng., Nagoya Inst. of Technol., Japan
fYear
2003
fDate
19-22 Oct. 2003
Firstpage
251
Lastpage
258
Abstract
Using the impedance perception algorithm, which we previously proposed, the stiffness matrix that constrains the motion-force relation of the robot´s end-effector is obtained on-line. This paper describes two methods of extracting information on local properties of object surfaces from the stiffness matrix when the end-effector is slid on the surfaces. At the present time, the scope is limited to two classes of surfaces; flat and convex cylindrical surfaces. Since the proposed perception technique is designed separately from control strategies, and they can be used for both autonomous and remote controlled robots. Results of preliminary experiments are presented.
Keywords
artificial intelligence; end effectors; feature extraction; matrix algebra; surface topography; convex cylindrical surfaces; flat surfaces; impedance perception; information extraction; motion-force relation; object surface properties recognition; remote controlled robots; robot end-effector; stiffness matrix; Automatic control; Data mining; Haptic interfaces; Humans; Mechanical engineering; Robotics and automation; Robots; Rough surfaces; Surface impedance; Surface roughness;
fLanguage
English
Publisher
ieee
Conference_Titel
Micromechatronics and Human Science, 2003. MHS 2003. Proceedings of 2003 International Symposium on
Print_ISBN
0-7803-8165-3
Type
conf
DOI
10.1109/MHS.2003.1249944
Filename
1249944
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