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
Link To Document :
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