Image processing for multi-mobile robot coordination

This project aims to design image processing module for a multi-robot system consisting of multiple mobile robots. The multi-robot system consists of two prototypes built from DIY robot chassis, Raspberry Pi, Arduino Uno, motor driver and camera. Image processing methods are implemented for obstacle...

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Main Author: Luo, Beier
Other Authors: Hu, Guoqiang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140304
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-140304
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spelling sg-ntu-dr.10356-1403042023-07-07T18:48:25Z Image processing for multi-mobile robot coordination Luo, Beier Hu, Guoqiang School of Electrical and Electronic Engineering Robotics Research Centre GQHu@ntu.edu.sg Engineering::Electrical and electronic engineering This project aims to design image processing module for a multi-robot system consisting of multiple mobile robots. The multi-robot system consists of two prototypes built from DIY robot chassis, Raspberry Pi, Arduino Uno, motor driver and camera. Image processing methods are implemented for obstacle detection, avoidance and object tracking. The intention is for the multi-mobile robots to avoid obstacles in their path while moving together in a formation. The main chapters of this project include literature reviews on existing research, software and hardware designs, and evaluation of results from testing the robots. Finally,ends off with conclusion and recommendation for future improvements. Overall, this project has allowed the student to gain insights into multiple research fields such as computer vision, multi-mobile robot coordination and robot formation control.The student has developed a deeper understanding of how an engineer can combine and integrate knowledge from different fields to solve a problem. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-28T01:52:24Z 2020-05-28T01:52:24Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140304 en A1078-191 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
Luo, Beier
Image processing for multi-mobile robot coordination
description This project aims to design image processing module for a multi-robot system consisting of multiple mobile robots. The multi-robot system consists of two prototypes built from DIY robot chassis, Raspberry Pi, Arduino Uno, motor driver and camera. Image processing methods are implemented for obstacle detection, avoidance and object tracking. The intention is for the multi-mobile robots to avoid obstacles in their path while moving together in a formation. The main chapters of this project include literature reviews on existing research, software and hardware designs, and evaluation of results from testing the robots. Finally,ends off with conclusion and recommendation for future improvements. Overall, this project has allowed the student to gain insights into multiple research fields such as computer vision, multi-mobile robot coordination and robot formation control.The student has developed a deeper understanding of how an engineer can combine and integrate knowledge from different fields to solve a problem.
author2 Hu, Guoqiang
author_facet Hu, Guoqiang
Luo, Beier
format Final Year Project
author Luo, Beier
author_sort Luo, Beier
title Image processing for multi-mobile robot coordination
title_short Image processing for multi-mobile robot coordination
title_full Image processing for multi-mobile robot coordination
title_fullStr Image processing for multi-mobile robot coordination
title_full_unstemmed Image processing for multi-mobile robot coordination
title_sort image processing for multi-mobile robot coordination
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/140304
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