A new decoupled control law for image-based visual servoing control of robot manipulators

2022 ◽  
Author(s):  
Vo Duy Cong ◽  
Le Duc Hanh
Keyword(s):  
Visual Servoing ◽  
Robot Manipulators ◽  
Control Law ◽  
Decoupled Control ◽  
Visual Servoing Control

A UAV for bridge's inspection: visual servoing control law with orientation limits

2004 ◽  
Vol 37 (8) ◽  
pp. 454-459 ◽  
Author(s):  
Najib Metni ◽  
Tarek Hamel ◽  
François Derkx
Keyword(s):  
Visual Servoing ◽  
Control Law ◽  
Visual Servoing Control

scholarly journals A Behavior-Based Visual Servoing Control Law

2008 ◽  
Author(s):  
Mohammed Marey ◽  
François Chaumette ◽  
Hichem Arioui ◽  
Rochdi Merzouki ◽  
Hadj Ahmed Abbassi
Keyword(s):  
Visual Servoing ◽  
Control Law ◽  
Behavior Based ◽  
Visual Servoing Control

3D Visual Servoing Control for Robot Manipulators Without Parametric Identification

2015 ◽  
Vol 13 (3) ◽  
pp. 569-577 ◽  
Author(s):  
Marco Antonio Arteaga Perez ◽  
Maximiliano Bueno Lopez
Keyword(s):  
Visual Servoing ◽  
Robot Manipulators ◽  
Parametric Identification ◽  
Visual Servoing Control

scholarly journals A Study on Vision-Based Backstepping Control for a Target Tracking System

Actuators ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 105
Author(s):  
Thinh Huynh ◽  
Minh-Thien Tran ◽  
Dong-Hun Lee ◽  
Soumayya Chakir ◽  
Young-Bok Kim
Keyword(s):  
Control System ◽  
Visual Servoing ◽  
Tracking System ◽  
Experimental Studies ◽  
Imaging Geometry ◽  
Control Scheme ◽  
Decoupled Control ◽  
Control Configuration ◽  
A New Technique ◽  
Pointing Control

This paper proposes a new method to control the pose of a camera mounted on a two-axis gimbal system for visual servoing applications. In these applications, the camera should be stable while its line-of-sight points at a target located within the camera’s field of view. One of the most challenging aspects of these systems is the coupling in the gimbal kinematics as well as the imaging geometry. Such factors must be considered in the control system design process to achieve better control performances. The novelty of this study is that the couplings in both mechanism’s kinematics and imaging geometry are decoupled simultaneously by a new technique, so popular control methods can be easily implemented, and good tracking performances are obtained. The proposed control configuration includes a calculation of the gimbal’s desired motion taking into account the coupling influence, and a control law derived by the backstepping procedure. Simulation and experimental studies were conducted, and their results validate the efficiency of the proposed control system. Moreover, comparison studies are conducted between the proposed control scheme, the image-based pointing control, and the decoupled control. This proves the superiority of the proposed approach that requires fewer measurements and results in smoother transient responses.

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