Recognizing object surface properties using impedance perception

Ryo Kikuuwe, Tsuneo Yoshikawa

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

By using the impedance perception algorithm, which we previously proposed, the stiffness matrix that constrains the motion-force relation of a robot's end-effector is calculated in real-time. In this paper, we describe methods of extracting information concerning certain local properties of object surfaces from the stiffness matrix when the end-effector is slid on the surfaces. We develop two algorithms to deal with two classes of surfaces: flat and convex cylindrical surfaces. Since the proposed methods are designed separately from control strategies, they can be used for both autonomous and remote controlled robots. The results of preliminary experiments are presented.

Original languageEnglish
Pages (from-to)387-396
Number of pages10
JournalRobotica
Volume23
Issue number3
DOIs
Publication statusPublished - May 2005
Externally publishedYes

Fingerprint

Impedance
Surface properties
Stiffness matrix
End effectors
Stiffness Matrix
Robot
Robots
Local Properties
Control Strategy
Real-time
Motion
Object
Perception
Experiment
Experiments

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Recognizing object surface properties using impedance perception. / Kikuuwe, Ryo; Yoshikawa, Tsuneo.

In: Robotica, Vol. 23, No. 3, 05.2005, p. 387-396.

Research output: Contribution to journalArticle

Kikuuwe, Ryo ; Yoshikawa, Tsuneo. / Recognizing object surface properties using impedance perception. In: Robotica. 2005 ; Vol. 23, No. 3. pp. 387-396.
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