CNN-based localization robot system

This project aims to develop a robot learning system that combines a Convolutional Neural Network (CNN) and Universal Robots UR5e robotic arm for the task of picking up oranges. Leveraging the capabilities of a RealSense Camera mounted on the robotic arm, the robot system predicts the coordinates of...

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Bibliographic Details
Main Author: Chan, Wayne Ler
Other Authors: Cheah Chien Chern
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177314
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1773142024-05-31T15:44:21Z CNN-based localization robot system Chan, Wayne Ler Cheah Chien Chern School of Electrical and Electronic Engineering ECCCheah@ntu.edu.sg Engineering This project aims to develop a robot learning system that combines a Convolutional Neural Network (CNN) and Universal Robots UR5e robotic arm for the task of picking up oranges. Leveraging the capabilities of a RealSense Camera mounted on the robotic arm, the robot system predicts the coordinates of the orange, enabling efficient and accurate manipulation. The Convolutional Neural Network is trained to recognize and locate the orange within the camera’s point of view, providing real-time data to guide the robotic arm’s movements. Combining advanced machine learning models with robotics, the robot system offers a versatile solution for automated fruit picking, with potential applications in agricultural automation and warehouse logistics. This project highlights the potential for enhancing efficiency and productivity in various industries. Bachelor's degree 2024-05-28T01:28:56Z 2024-05-28T01:28:56Z 2024 Final Year Project (FYP) Chan, W. L. (2024). CNN-based localization robot system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177314 https://hdl.handle.net/10356/177314 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
spellingShingle Engineering
Chan, Wayne Ler
CNN-based localization robot system
description This project aims to develop a robot learning system that combines a Convolutional Neural Network (CNN) and Universal Robots UR5e robotic arm for the task of picking up oranges. Leveraging the capabilities of a RealSense Camera mounted on the robotic arm, the robot system predicts the coordinates of the orange, enabling efficient and accurate manipulation. The Convolutional Neural Network is trained to recognize and locate the orange within the camera’s point of view, providing real-time data to guide the robotic arm’s movements. Combining advanced machine learning models with robotics, the robot system offers a versatile solution for automated fruit picking, with potential applications in agricultural automation and warehouse logistics. This project highlights the potential for enhancing efficiency and productivity in various industries.
author2 Cheah Chien Chern
author_facet Cheah Chien Chern
Chan, Wayne Ler
format Final Year Project
author Chan, Wayne Ler
author_sort Chan, Wayne Ler
title CNN-based localization robot system
title_short CNN-based localization robot system
title_full CNN-based localization robot system
title_fullStr CNN-based localization robot system
title_full_unstemmed CNN-based localization robot system
title_sort cnn-based localization robot system
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/177314
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