Planning and navigation of pictobot (wall painting robot)

In Singapore, the demand for newly build houses or HDB is expected to grow for the next few years. On the contrary, Singapore is facing labor shortage issue as its population is aging. The phrase “more jobs, less workers” is best to describe the current condition. In construction, the tasks gi...

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Main Author: Ong, Jaka
Other Authors: Chen I-Ming
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/76269
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-762692023-03-04T18:33:12Z Planning and navigation of pictobot (wall painting robot) Ong, Jaka Chen I-Ming School of Mechanical and Aerospace Engineering Ehsan Asadi DRNTU::Engineering::Mechanical engineering::Mechatronics DRNTU::Engineering::Mechanical engineering::Robots In Singapore, the demand for newly build houses or HDB is expected to grow for the next few years. On the contrary, Singapore is facing labor shortage issue as its population is aging. The phrase “more jobs, less workers” is best to describe the current condition. In construction, the tasks given to the workers are usually repetitive and time consuming. As such, it is suitable to use robot to perform some of the construction tasks to solve these issues including the “more jobs, less workers” issue. This project is to implement a navigation system to the existing wall painting robot. In this report, we present the methods used for the navigation of the wall painting robot together with the suggested workflow for the robot. Besides, the result of each method is also presented in this report. After the implementation of the system, it is expected for the robot to be able to generate map, localize itself, plan path for navigation, do wall following and self-parking. Bachelor of Engineering (Mechanical Engineering) 2018-12-14T02:07:03Z 2018-12-14T02:07:03Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/76269 en Nanyang Technological University 75 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Mechatronics
DRNTU::Engineering::Mechanical engineering::Robots
spellingShingle DRNTU::Engineering::Mechanical engineering::Mechatronics
DRNTU::Engineering::Mechanical engineering::Robots
Ong, Jaka
Planning and navigation of pictobot (wall painting robot)
description In Singapore, the demand for newly build houses or HDB is expected to grow for the next few years. On the contrary, Singapore is facing labor shortage issue as its population is aging. The phrase “more jobs, less workers” is best to describe the current condition. In construction, the tasks given to the workers are usually repetitive and time consuming. As such, it is suitable to use robot to perform some of the construction tasks to solve these issues including the “more jobs, less workers” issue. This project is to implement a navigation system to the existing wall painting robot. In this report, we present the methods used for the navigation of the wall painting robot together with the suggested workflow for the robot. Besides, the result of each method is also presented in this report. After the implementation of the system, it is expected for the robot to be able to generate map, localize itself, plan path for navigation, do wall following and self-parking.
author2 Chen I-Ming
author_facet Chen I-Ming
Ong, Jaka
format Final Year Project
author Ong, Jaka
author_sort Ong, Jaka
title Planning and navigation of pictobot (wall painting robot)
title_short Planning and navigation of pictobot (wall painting robot)
title_full Planning and navigation of pictobot (wall painting robot)
title_fullStr Planning and navigation of pictobot (wall painting robot)
title_full_unstemmed Planning and navigation of pictobot (wall painting robot)
title_sort planning and navigation of pictobot (wall painting robot)
publishDate 2018
url http://hdl.handle.net/10356/76269
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