Robot manipulator utilizing image based visual servoing

Most of the robots in the industry perform tasks by using a pre-programmed sequence of events. The Pegasus Arm, which forms part of the Computer Integrated Manufacturing (CIM) system, was no exemption. With the old set-up, only a single position was allowed and locators had to be employed to secure...

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Main Authors: Gupit, Wilmita Lynda B., Paras, Cara Regina Esperanza C., Querol, Vidal Eizzak S., Rillera, Jacky O., Tan, Druce Alaric S.
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Language:English
Published: Animo Repository 2005
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/14578
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-152202021-11-10T03:12:33Z Robot manipulator utilizing image based visual servoing Gupit, Wilmita Lynda B. Paras, Cara Regina Esperanza C. Querol, Vidal Eizzak S. Rillera, Jacky O. Tan, Druce Alaric S. Most of the robots in the industry perform tasks by using a pre-programmed sequence of events. The Pegasus Arm, which forms part of the Computer Integrated Manufacturing (CIM) system, was no exemption. With the old set-up, only a single position was allowed and locators had to be employed to secure the pellet in its right place. Hence, visual servoing is needed. Visual servoing involves the concept of a closed loop position control, wherein feedback can be received from external disturbances such as an abrupt change in the position and orientation of the object as the vision and motion are simultaneously run. There were two types of visual servoing these are position based and image based. Position based uses Cartesian coordinates and seeks for the image error function. The group used one camera that is mounted in the end-effector of Pegasus robot to perform image extraction by designing a filter that will isolate the feature of the blue pellet from its surroundings. Robot controller circuit had been made in order to manipulate the six motors. Robot Toolbox in Mathlab 6.5 was used in control and simulation of the robot arm. Thus, Uncalibrated Visual Servoing algorithm was done in the said environment. With the implementation of image based visual servoing, a more humanlike robot manipulation was achieved, wherein the gripper could position itself in any pellet orientation within the pick-up station even with the absence of locators and under normal room lighting. Also, the robot arm could follow moving object as long as the movement of the pellet is in the camera's range of sight. 2005-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14578 Bachelor's Theses English Animo Repository Robots--Control systems Computer vision Servomechanisms Calibration Cameras
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Robots--Control systems
Computer vision
Servomechanisms
Calibration
Cameras
spellingShingle Robots--Control systems
Computer vision
Servomechanisms
Calibration
Cameras
Gupit, Wilmita Lynda B.
Paras, Cara Regina Esperanza C.
Querol, Vidal Eizzak S.
Rillera, Jacky O.
Tan, Druce Alaric S.
Robot manipulator utilizing image based visual servoing
description Most of the robots in the industry perform tasks by using a pre-programmed sequence of events. The Pegasus Arm, which forms part of the Computer Integrated Manufacturing (CIM) system, was no exemption. With the old set-up, only a single position was allowed and locators had to be employed to secure the pellet in its right place. Hence, visual servoing is needed. Visual servoing involves the concept of a closed loop position control, wherein feedback can be received from external disturbances such as an abrupt change in the position and orientation of the object as the vision and motion are simultaneously run. There were two types of visual servoing these are position based and image based. Position based uses Cartesian coordinates and seeks for the image error function. The group used one camera that is mounted in the end-effector of Pegasus robot to perform image extraction by designing a filter that will isolate the feature of the blue pellet from its surroundings. Robot controller circuit had been made in order to manipulate the six motors. Robot Toolbox in Mathlab 6.5 was used in control and simulation of the robot arm. Thus, Uncalibrated Visual Servoing algorithm was done in the said environment. With the implementation of image based visual servoing, a more humanlike robot manipulation was achieved, wherein the gripper could position itself in any pellet orientation within the pick-up station even with the absence of locators and under normal room lighting. Also, the robot arm could follow moving object as long as the movement of the pellet is in the camera's range of sight.
format text
author Gupit, Wilmita Lynda B.
Paras, Cara Regina Esperanza C.
Querol, Vidal Eizzak S.
Rillera, Jacky O.
Tan, Druce Alaric S.
author_facet Gupit, Wilmita Lynda B.
Paras, Cara Regina Esperanza C.
Querol, Vidal Eizzak S.
Rillera, Jacky O.
Tan, Druce Alaric S.
author_sort Gupit, Wilmita Lynda B.
title Robot manipulator utilizing image based visual servoing
title_short Robot manipulator utilizing image based visual servoing
title_full Robot manipulator utilizing image based visual servoing
title_fullStr Robot manipulator utilizing image based visual servoing
title_full_unstemmed Robot manipulator utilizing image based visual servoing
title_sort robot manipulator utilizing image based visual servoing
publisher Animo Repository
publishDate 2005
url https://animorepository.dlsu.edu.ph/etd_bachelors/14578
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