Home /Research /Recognizing object surface properties using impedance perception
PERCEPTION

Recognizing object surface properties using impedance perception

Ryo Kikuuwe, T. Yoshikawa

Year
2004
Citations
3

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

RobotRobot end effectorStiffnessElectrical impedanceObject (grammar)Computer visionImpedance parametersSurface (topology)Computer scienceImpedance control

Related papers

Browse all PERCEPTION papers