Skripsi

PENGEMBANGAN SISTEM KENDALI NAVIGASI MOBILE ROBOT PENGHINDAR RINTANGAN

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The rapid advancement of technology, particularly in robotics and automation. These developments play an essential role in improving efficiency within industrial operations, logistics, and intelligent transportation systems. This research aims to design and implement an IoT-based autonomous mobile robot system capable of independently navigating toward a predefined target point, avoiding obstacles along its path, and transmitting data in real time through the Internet for remote monitoring purposes. The research process began with the mechanical design of the robot using SolidWorks software to ensure structural accuracy and spatial configuration. The prototype was assembled using essential components, including an Arduino Mega as the main controller, DC motors with an L298N motor driver for motion control, Obstacle Avoidance sensors for obstacle detection, and an Inertial Measurement Unit (IMU) sensor for orientation and acceleration measurement. A PID (Proportional–Integral–Derivative) algorithm was implemented in the control system to maintain directional stability and improve dynamic response during movement. Furthermore, an Internet of things (IoT) communication framework was integrated, enabling the robot to transmit orientation, velocity, and system status data to a cloud platform for real-time monitoring via external devices such as computers or smartphones. Experimental results demonstrate that the robot performs stable motion, effectively detects and avoids obstacles, and successfully transmits data to the Internet with reliable response time. This study is expected to contribute to the advancement of IoT-based autonomous robotics technology and serve as a valuable reference for future research in automation and intelligent systems.

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Availability

Detail Information

Series Title

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Call Number

T1859412025

Publisher

Indralaya : Prodi Teknik Mesin, Fakultas Teknik Universitas Sriwijaya., 2025

Collation

xxviii, 95 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

629.807

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

-

Subject(s)

Mobile robot
Prodi Teknik Mesin

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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