Fusion of Vision and Inertial Sensors for Position-Based Visual Servoing of a Robot Manipulator

2013 ◽  
pp. 536-545
Author(s):  
Tran Minh Duc ◽  
Hee-Jun Kang
Keyword(s):  
Visual Servoing ◽  
Inertial Sensors ◽  
Robot Manipulator

Remote Visual Servoing of a Robot Manipulator via Internet2

2007 ◽  
Vol 49 (2) ◽  
pp. 171-187 ◽  
Author(s):  
Carmen Monroy ◽  
Rafael Kelly ◽  
Marco Arteaga ◽  
Eusebio Bugarin
Keyword(s):  
Visual Servoing ◽  
Robot Manipulator

Image-Based Visual Servoing of a 7-DOF Robot Manipulator Using an Adaptive Distributed Fuzzy PD Controller

2014 ◽  
Vol 19 (2) ◽  
pp. 512-523 ◽  
Author(s):  
Indrazno Siradjuddin ◽  
Laxmidhar Behera ◽  
T. Martin McGinnity ◽  
Sonya Coleman
Keyword(s):  
Visual Servoing ◽  
Robot Manipulator ◽  
Pd Controller ◽  
Fuzzy Pd

scholarly journals Designing a Fuzzy Controller for Visual Servoing of a Robot Manipulator with Online Adjustment Capability

2018 ◽  
Vol 12 (1) ◽  
pp. 39-52
Author(s):  
Fatemeh Abadianzadeh ◽  
Vali Derhami ◽  
Mehdi Rezaeain ◽  
◽  
◽  
...  
Keyword(s):  
Visual Servoing ◽  
Fuzzy Controller ◽  
Robot Manipulator

Visual Servoing of Soft Robot Manipulator in Constrained Environments With an Adaptive Controller

2017 ◽  
Vol 22 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Hesheng Wang ◽  
Bohan Yang ◽  
Yuting Liu ◽  
Weidong Chen ◽  
Xinwu Liang ◽  
...  
Keyword(s):  
Visual Servoing ◽  
Robot Manipulator ◽  
Adaptive Controller ◽  
Soft Robot ◽  
Constrained Environments

scholarly journals Adaptive control of nonlinear visual servoing systems for 3D cartesian tracking

2006 ◽  
Vol 17 (4) ◽  
pp. 381-390 ◽  
Author(s):  
Alessandro R. L. Zachi ◽  
Hsu Liu ◽  
Fernando Lizarralde ◽  
Antonio C. Leite
Keyword(s):  
Adaptive Control ◽  
Visual Servoing ◽  
Feedback Loop ◽  
Control Method ◽  
Optical Axis ◽  
Robot Manipulator ◽  
Depth Estimation ◽  
Target Object ◽  
Image Area ◽  
Real Robot

This paper presents a control strategy for robot manipulators to perform 3D cartesian tracking using visual servoing. Considering a fixed camera, the 3D cartesian motion is decomposed in a 2D motion on a plane orthogonal to the optical axis and a 1D motion parallel to this axis. An image-based visual servoing approach is used to deal with the nonlinear control problem generated by the depth variation without requiring direct depth estimation. Due to the lack of camera calibration, an adaptive control method is used to ensure both depth and planar tracking in the image frame. The depth feedback loop is closed by measuring the image area of a target object attached to the robot end-effector. Simulation and experimental results obtained with a real robot manipulator illustrate the viability of the proposed scheme.

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