Vision-based control of intelligent robot networks

It is observed that multi-robot systems are cheaper and more effective when compared to a single robot. However, the effectiveness of multi-robot systems in uncertain environments appears to lag natural formation control counterparts such as a swarm of ants and a flock of birds. This is because mobi...

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Main Author: How, Jia Jin
Other Authors: Hu Guoqiang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157557
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1575572023-07-07T19:27:42Z Vision-based control of intelligent robot networks How, Jia Jin Hu Guoqiang School of Electrical and Electronic Engineering GQHu@ntu.edu.sg Engineering::Electrical and electronic engineering It is observed that multi-robot systems are cheaper and more effective when compared to a single robot. However, the effectiveness of multi-robot systems in uncertain environments appears to lag natural formation control counterparts such as a swarm of ants and a flock of birds. This is because mobile robots are usually programmed and tested in a controlled environment and rely heavily on global positioning and orientation data. Thus, in this project, formation control, obstacle avoidance and loss of vision correction algorithms are designed with the consideration of uncertain environment. The control algorithms mainly use vision-based data such as LIDAR sensor and cameras for control. MATLAB and Simulink software were used for the testing and simulation of the control algorithms designed. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-19T13:18:03Z 2022-05-19T13:18:03Z 2022 Final Year Project (FYP) How, J. J. (2022). Vision-based control of intelligent robot networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157557 https://hdl.handle.net/10356/157557 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::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
How, Jia Jin
Vision-based control of intelligent robot networks
description It is observed that multi-robot systems are cheaper and more effective when compared to a single robot. However, the effectiveness of multi-robot systems in uncertain environments appears to lag natural formation control counterparts such as a swarm of ants and a flock of birds. This is because mobile robots are usually programmed and tested in a controlled environment and rely heavily on global positioning and orientation data. Thus, in this project, formation control, obstacle avoidance and loss of vision correction algorithms are designed with the consideration of uncertain environment. The control algorithms mainly use vision-based data such as LIDAR sensor and cameras for control. MATLAB and Simulink software were used for the testing and simulation of the control algorithms designed.
author2 Hu Guoqiang
author_facet Hu Guoqiang
How, Jia Jin
format Final Year Project
author How, Jia Jin
author_sort How, Jia Jin
title Vision-based control of intelligent robot networks
title_short Vision-based control of intelligent robot networks
title_full Vision-based control of intelligent robot networks
title_fullStr Vision-based control of intelligent robot networks
title_full_unstemmed Vision-based control of intelligent robot networks
title_sort vision-based control of intelligent robot networks
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157557
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