MoMa: An assistive mobile manipulator with a webcam-based gaze control system

Mobile Manipulators (MoMa) is a category of mobile robots designed to assist people with motor disabilities to perform object retrieval tasks using a webcam-based gaze control system. Using off-the-shelf components such as reproducible acrylic and 3D-printed plates, and a webcam for eye tracking, Mo...

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Main Authors: James Dominic O. Go, Neal Garnett T. Ong, Carlo A. Rafanan, Brian G. Tan, Timothy Scott C. Chu
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:HardwareX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2468067224000932
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author James Dominic O. Go
Neal Garnett T. Ong
Carlo A. Rafanan
Brian G. Tan
Timothy Scott C. Chu
author_facet James Dominic O. Go
Neal Garnett T. Ong
Carlo A. Rafanan
Brian G. Tan
Timothy Scott C. Chu
author_sort James Dominic O. Go
collection DOAJ
description Mobile Manipulators (MoMa) is a category of mobile robots designed to assist people with motor disabilities to perform object retrieval tasks using a webcam-based gaze control system. Using off-the-shelf components such as reproducible acrylic and 3D-printed plates, and a webcam for eye tracking, MoMa serves as an inexpensive, open-source, and customizable solution in assistive robotics. The robotic system consists of a mobile base that can move forward and backward, as well as turn in place; and a 2-axis cartesian arm equipped with a claw gripper that opens and closes. The simple movement of the robot also allows for a simple control method and graphical user interface (GUI). The user receives information about what is in front of the robot through a mounted camera, and, by looking at parts of the screen that correspond to controls, has their gaze predicted by a convolutional neural network and sends commands wirelessly. The performance of the entire system has been validated through testing of the gaze prediction model, the integration of the control system, as well as its task completion capabilities. All the design, construction and software files are freely available online under the CC BY 4.0 license at https://doi.org/10.17632/k7yfn6wdv7.2.
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spelling doaj-art-e79ffda9e1a24bb6813749ed77abf01a2024-12-16T05:36:41ZengElsevierHardwareX2468-06722024-12-0120e00599MoMa: An assistive mobile manipulator with a webcam-based gaze control systemJames Dominic O. Go0Neal Garnett T. Ong1Carlo A. Rafanan2Brian G. Tan3Timothy Scott C. Chu4De La Salle University Manila, 2401 Taft Ave, Malate, Manila, 1004 Metro Manila, PhilippinesDe La Salle University Manila, 2401 Taft Ave, Malate, Manila, 1004 Metro Manila, PhilippinesDe La Salle University Manila, 2401 Taft Ave, Malate, Manila, 1004 Metro Manila, PhilippinesDe La Salle University Manila, 2401 Taft Ave, Malate, Manila, 1004 Metro Manila, PhilippinesCorresponding author.; De La Salle University Manila, 2401 Taft Ave, Malate, Manila, 1004 Metro Manila, PhilippinesMobile Manipulators (MoMa) is a category of mobile robots designed to assist people with motor disabilities to perform object retrieval tasks using a webcam-based gaze control system. Using off-the-shelf components such as reproducible acrylic and 3D-printed plates, and a webcam for eye tracking, MoMa serves as an inexpensive, open-source, and customizable solution in assistive robotics. The robotic system consists of a mobile base that can move forward and backward, as well as turn in place; and a 2-axis cartesian arm equipped with a claw gripper that opens and closes. The simple movement of the robot also allows for a simple control method and graphical user interface (GUI). The user receives information about what is in front of the robot through a mounted camera, and, by looking at parts of the screen that correspond to controls, has their gaze predicted by a convolutional neural network and sends commands wirelessly. The performance of the entire system has been validated through testing of the gaze prediction model, the integration of the control system, as well as its task completion capabilities. All the design, construction and software files are freely available online under the CC BY 4.0 license at https://doi.org/10.17632/k7yfn6wdv7.2.http://www.sciencedirect.com/science/article/pii/S2468067224000932Convolutional neural networksGaze controlMobile manipulatorUnmanned ground vehicleWebcam
spellingShingle James Dominic O. Go
Neal Garnett T. Ong
Carlo A. Rafanan
Brian G. Tan
Timothy Scott C. Chu
MoMa: An assistive mobile manipulator with a webcam-based gaze control system
HardwareX
Convolutional neural networks
Gaze control
Mobile manipulator
Unmanned ground vehicle
Webcam
title MoMa: An assistive mobile manipulator with a webcam-based gaze control system
title_full MoMa: An assistive mobile manipulator with a webcam-based gaze control system
title_fullStr MoMa: An assistive mobile manipulator with a webcam-based gaze control system
title_full_unstemmed MoMa: An assistive mobile manipulator with a webcam-based gaze control system
title_short MoMa: An assistive mobile manipulator with a webcam-based gaze control system
title_sort moma an assistive mobile manipulator with a webcam based gaze control system
topic Convolutional neural networks
Gaze control
Mobile manipulator
Unmanned ground vehicle
Webcam
url http://www.sciencedirect.com/science/article/pii/S2468067224000932
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