The coordination of multi-robot arduino for searching victims under collapsed building / Mohamad Aliff Farhan Muhamad Saufi

Muhamad Saufi, Mohamad Aliff Farhan (2019) The coordination of multi-robot arduino for searching victims under collapsed building / Mohamad Aliff Farhan Muhamad Saufi. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Each and every year humankind encounters unforeseeable scales of catastrophic events which under the circumstances, victims are being trapped under the rubbles following three or four days either in conscious or unconscious state. Given the high demand for an autonomous machine to deal with search operations efficiently, the paper aims to design autonomous multi-robot able to collaborate with each other in operating human victim searching under collapsed building. The robot prototype is equipped with Arduino Uno as the microcontroller, which is a very low cost alternative compared to the current expensive microcontroller. The prototypes only utilize Ultrasonic sensor to detect human victim due to the cost limitation, PIR sensor, which is the best sensor to detect human presence cannot be utilized. The proposed paper also involves the design of algorithm for communication between the two robot prototypes when operating searching task.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Muhamad Saufi, Mohamad Aliff Farhan
2016307179
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Abdul Basit, Kamarul Ariffin
UNSPECIFIED
Subjects: T Technology > TH Building construction
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons.) Data Communication and Networking
Keywords: Multi-robot arduino, victims, collapsed building
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/109656
Edit Item
Edit Item

Download

[thumbnail of 109656.pdf] Text
109656.pdf

Download (504kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

109656

Indexing

Statistic

Statistic details