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...
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Format: | Final Year Project (FYP) |
Language: | English |
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2019
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Online Access: | http://hdl.handle.net/10356/77048 |
_version_ | 1811694678601367552 |
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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 |