Payload handler for mobile robotic platform in a restaurant setting
Mobile robots come in different forms and have recently been employed in various fields. The robots help people to carry out heavy objects in manufacturing and construction. The robots help people to handle hazardous materials in laboratory environment. In this project, a mobile robot is proposed to...
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2018
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sg-ntu-dr.10356-757462023-03-04T19:07:08Z Payload handler for mobile robotic platform in a restaurant setting Chong, Yi Sheng Seet Gim Lee, Gerald School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Mobile robots come in different forms and have recently been employed in various fields. The robots help people to carry out heavy objects in manufacturing and construction. The robots help people to handle hazardous materials in laboratory environment. In this project, a mobile robot is proposed to work in service industry which is in restaurants. The robot aims to provide a solution to the restaurants who are frequently arranging their furniture for different business time. The robot would assist in the repetitive and heavy task. This project is using a prototype which has holonomic platform and modular lifting mechanism. The holonomic platform is running Ubuntu and ROS which contains the program codes for its tasks. The platform is communicating with the lifting mechanism via an Arduino Board. The robot would be navigated in an environment to search for tables and chairs. The tables and chairs are carried and transported to the desired location and arrangement. This project would focus on developing algorithm in detecting tables and chairs via a laser scanning range finder. The detection results would be then utilized in navigating the robot to approach the table or chair, then carry it to another location. Bachelor of Engineering (Mechanical Engineering) 2018-06-13T06:41:53Z 2018-06-13T06:41:53Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75746 en Nanyang Technological University 63 p. application/pdf |
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DRNTU::Engineering::Mechanical engineering Chong, Yi Sheng Payload handler for mobile robotic platform in a restaurant setting |
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Mobile robots come in different forms and have recently been employed in various fields. The robots help people to carry out heavy objects in manufacturing and construction. The robots help people to handle hazardous materials in laboratory environment. In this project, a mobile robot is proposed to work in service industry which is in restaurants. The robot aims to provide a solution to the restaurants who are frequently arranging their furniture for different business time. The robot would assist in the repetitive and heavy task. This project is using a prototype which has holonomic platform and modular lifting mechanism. The holonomic platform is running Ubuntu and ROS which contains the program codes for its tasks. The platform is communicating with the lifting mechanism via an Arduino Board. The robot would be navigated in an environment to search for tables and chairs. The tables and chairs are carried and transported to the desired location and arrangement. This project would focus on developing algorithm in detecting tables and chairs via a laser scanning range finder. The detection results would be then utilized in navigating the robot to approach the table or chair, then carry it to another location. |
author2 |
Seet Gim Lee, Gerald |
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Seet Gim Lee, Gerald Chong, Yi Sheng |
format |
Final Year Project |
author |
Chong, Yi Sheng |
author_sort |
Chong, Yi Sheng |
title |
Payload handler for mobile robotic platform in a restaurant setting |
title_short |
Payload handler for mobile robotic platform in a restaurant setting |
title_full |
Payload handler for mobile robotic platform in a restaurant setting |
title_fullStr |
Payload handler for mobile robotic platform in a restaurant setting |
title_full_unstemmed |
Payload handler for mobile robotic platform in a restaurant setting |
title_sort |
payload handler for mobile robotic platform in a restaurant setting |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/75746 |
_version_ |
1759856555328536576 |