Home /Research /POSITION-BASED VISUAL SERVOING IN ROBOTIC CAPTURE OF MOVING TARGET ENHANCED BY KALMAN FILTER
MANIPULATION

POSITION-BASED VISUAL SERVOING IN ROBOTIC CAPTURE OF MOVING TARGET ENHANCED BY KALMAN FILTER

Benoit P. Larouche, Zheng Zhu

Year
2015
Citations
11
Access
Open access

Abstract

The paper develops a Kalman filter (KF)-enhanced position-based visual servo control strategy for autonomous robotic capture of a moving target with an eye-in-hand-configured robotic manipulator.

Keywords

Visual servoingKalman filterComputer visionArtificial intelligenceComputer sciencePosition (finance)Extended Kalman filterImage (mathematics)

Related papers

Browse all MANIPULATION papers