Automatic docking and charging station for a mobile robot platform

Automation with mobile robots has been gaining attention recently and has been widely adopted by companies from the various sector, the most significant will be the warehouse logistics of the ecommerce business. In warehouse logistics, mobile robots can help in reducing the time for retrieving the i...

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Main Author: Poon, Jun Nam
Other Authors: Seet Gim Lee, Gerald
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77601
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-776012023-03-04T18:53:44Z Automatic docking and charging station for a mobile robot platform Poon, Jun Nam Seet Gim Lee, Gerald School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Robots Automation with mobile robots has been gaining attention recently and has been widely adopted by companies from the various sector, the most significant will be the warehouse logistics of the ecommerce business. In warehouse logistics, mobile robots can help in reducing the time for retrieving the item, and greatly reduce the error which can result in the optimization of the overall process. In order to maximize efficiency, the mobile robots should be able to work 24/7 without little to no human supervision. To achieve this, the challenge lies in the duration of the power supplied to the mobile robots to keep it working. Hence, the power management of the mobile robot is a crucial factor. One of the research topics regarding this factor is the automatic docking and charging of the robot’s battery, with little to no human intervention in the battery recharging process. In this report, the objective is to develop a docking system for a contacting charger with one active side and one or no passive side. A monochrome camera is used for perception in pose adjustment and the Hokuyo URG-04LX Laser Range Finder is used for perception in checking the orientation at the check point and whether the robot docked successfully. The station implemented in the docking system has no active peripherals and does not provide large flexibility to compensate for the entry error. An experiment is carried out to test the effectiveness of the docking system proposed in this report, the result showed a 100% success rate with an average of 2.89 trials among 70 runs. Some method to improve the result with the reconstruction of the station or the implementation of a wireless charger is discussed in this report. The proposed docking system in this report provides a very base fundamental solution to the power management of mobile robots for the purpose of process automation. This can optimize and enhance the efficiency in various fields such as ecommerce warehouse logistics, service sector, manufacturing line and others. Bachelor of Engineering (Mechanical Engineering) 2019-06-03T04:54:20Z 2019-06-03T04:54:20Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77601 en Nanyang Technological University 71 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::Robots
spellingShingle DRNTU::Engineering::Mechanical engineering::Robots
Poon, Jun Nam
Automatic docking and charging station for a mobile robot platform
description Automation with mobile robots has been gaining attention recently and has been widely adopted by companies from the various sector, the most significant will be the warehouse logistics of the ecommerce business. In warehouse logistics, mobile robots can help in reducing the time for retrieving the item, and greatly reduce the error which can result in the optimization of the overall process. In order to maximize efficiency, the mobile robots should be able to work 24/7 without little to no human supervision. To achieve this, the challenge lies in the duration of the power supplied to the mobile robots to keep it working. Hence, the power management of the mobile robot is a crucial factor. One of the research topics regarding this factor is the automatic docking and charging of the robot’s battery, with little to no human intervention in the battery recharging process. In this report, the objective is to develop a docking system for a contacting charger with one active side and one or no passive side. A monochrome camera is used for perception in pose adjustment and the Hokuyo URG-04LX Laser Range Finder is used for perception in checking the orientation at the check point and whether the robot docked successfully. The station implemented in the docking system has no active peripherals and does not provide large flexibility to compensate for the entry error. An experiment is carried out to test the effectiveness of the docking system proposed in this report, the result showed a 100% success rate with an average of 2.89 trials among 70 runs. Some method to improve the result with the reconstruction of the station or the implementation of a wireless charger is discussed in this report. The proposed docking system in this report provides a very base fundamental solution to the power management of mobile robots for the purpose of process automation. This can optimize and enhance the efficiency in various fields such as ecommerce warehouse logistics, service sector, manufacturing line and others.
author2 Seet Gim Lee, Gerald
author_facet Seet Gim Lee, Gerald
Poon, Jun Nam
format Final Year Project
author Poon, Jun Nam
author_sort Poon, Jun Nam
title Automatic docking and charging station for a mobile robot platform
title_short Automatic docking and charging station for a mobile robot platform
title_full Automatic docking and charging station for a mobile robot platform
title_fullStr Automatic docking and charging station for a mobile robot platform
title_full_unstemmed Automatic docking and charging station for a mobile robot platform
title_sort automatic docking and charging station for a mobile robot platform
publishDate 2019
url http://hdl.handle.net/10356/77601
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