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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Bibliographic Details
Main Author: How, Jia Jin
Other Authors: Hu Guoqiang
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157557
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author How, Jia Jin
author2 Hu Guoqiang
author_facet Hu Guoqiang
How, Jia Jin
author_sort How, Jia Jin
collection NTU
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.
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spelling ntu-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
spellingShingle Engineering::Electrical and electronic engineering
How, Jia Jin
Vision-based control of intelligent robot networks
title 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_short Vision-based control of intelligent robot networks
title_sort vision based control of intelligent robot networks
topic Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/157557
work_keys_str_mv AT howjiajin visionbasedcontrolofintelligentrobotnetworks