Robotic delivery system : via Bluetooth low energy (BLE) Tags and quick response (QR) code

The Robotic Delivery System is a prototype of a robot system that can assist users, mainly staff of large office complexes, to deliver items, documents or packages efficiently and accurately. Unlike existing products, this system can be implemented and deployed at large indoor environments with a hi...

Full description

Bibliographic Details
Main Author: Mohamed Faizzulfarhan Mohamed Roseley
Other Authors: Oh Hong Lye
Format: Final Year Project (FYP)
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77048
_version_ 1811694678601367552
author Mohamed Faizzulfarhan Mohamed Roseley
author2 Oh Hong Lye
author_facet Oh Hong Lye
Mohamed Faizzulfarhan Mohamed Roseley
author_sort Mohamed Faizzulfarhan Mohamed Roseley
collection NTU
description The Robotic Delivery System is a prototype of a robot system that can assist users, mainly staff of large office complexes, to deliver items, documents or packages efficiently and accurately. Unlike existing products, this system can be implemented and deployed at large indoor environments with a high degree of accuracy. The system is able to accurately arrive at its destination using Bluetooth Low Energy (BLE) SensorTags detection and QR code recognition. Both measures are implemented to ensure correctness and decrease the chances of mistakes during delivery. The Robotic Delivery System also has obstacle avoidance measures to prevent people from harm and damage to the package or the robot itself. The Robotic Delivery System will be developed using the Texas Instruments Robotic System Learning Kit (TI-RSLK) and a Raspberry Pi 3.
first_indexed 2024-10-01T07:11:24Z
format Final Year Project (FYP)
id ntu-10356/77048
institution Nanyang Technological University
language English
last_indexed 2024-10-01T07:11:24Z
publishDate 2019
record_format dspace
spelling ntu-10356/770482023-03-03T20:51:21Z Robotic delivery system : via Bluetooth low energy (BLE) Tags and quick response (QR) code Mohamed Faizzulfarhan Mohamed Roseley Oh Hong Lye School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering The Robotic Delivery System is a prototype of a robot system that can assist users, mainly staff of large office complexes, to deliver items, documents or packages efficiently and accurately. Unlike existing products, this system can be implemented and deployed at large indoor environments with a high degree of accuracy. The system is able to accurately arrive at its destination using Bluetooth Low Energy (BLE) SensorTags detection and QR code recognition. Both measures are implemented to ensure correctness and decrease the chances of mistakes during delivery. The Robotic Delivery System also has obstacle avoidance measures to prevent people from harm and damage to the package or the robot itself. The Robotic Delivery System will be developed using the Texas Instruments Robotic System Learning Kit (TI-RSLK) and a Raspberry Pi 3. Bachelor of Engineering (Computer Science) 2019-05-04T14:36:06Z 2019-05-04T14:36:06Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77048 en Nanyang Technological University 36 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering
Mohamed Faizzulfarhan Mohamed Roseley
Robotic delivery system : via Bluetooth low energy (BLE) Tags and quick response (QR) code
title Robotic delivery system : via Bluetooth low energy (BLE) Tags and quick response (QR) code
title_full Robotic delivery system : via Bluetooth low energy (BLE) Tags and quick response (QR) code
title_fullStr Robotic delivery system : via Bluetooth low energy (BLE) Tags and quick response (QR) code
title_full_unstemmed Robotic delivery system : via Bluetooth low energy (BLE) Tags and quick response (QR) code
title_short Robotic delivery system : via Bluetooth low energy (BLE) Tags and quick response (QR) code
title_sort robotic delivery system via bluetooth low energy ble tags and quick response qr code
topic DRNTU::Engineering::Computer science and engineering
url http://hdl.handle.net/10356/77048
work_keys_str_mv AT mohamedfaizzulfarhanmohamedroseley roboticdeliverysystemviabluetoothlowenergybletagsandquickresponseqrcode