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Journal : Journal of Embedded Systems, Security and Intelligent Systems

Implementation of ESP32-Based Web Host For Control and Monitoring of Robotic Arm Sutarsi Suhaeb; Ahmad Risal
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 3 (2024): November 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i3.5184

Abstract

In the modern technological era, the Internet of Things (IoT) plays a significant role in developing robotic control systems, including robotic arms. This study explores the implementation of an ESP32-based webhost to control and monitor robotic arm operations in real time via a web interface connected to a Wi-Fi network. The system is designed to provide ease of access, reliable performance, and low latency, making it suitable for education, technical training, and other applications. Testing revealed that the system delivers fast response times, high stability under moderate loads, and an intuitive interface for users with varying skill levels. These findings present opportunities for further development, including integration with cloud-based technologies and data security enhancements
High-Precision Object Detection Using 8 Proximity Sensors: Integration of Switching Algorithm and Visual Display Sutarsi Suhaeb; Ahmad Risal; Andi Rakhmat Baharuddin
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i2.8133

Abstract

This study developed an object detection system based on 8 proximity sensors implemented in a line follower robot using a switching algorithm. The system is controlled by an Arduino Nano microcontroller and displays detection results on a 16x2 LCD. The switching method is employed to read the sensors alternately, thereby reducing channel interference and lowering power consumption without compromising reading speed. Each sensor is calibrated with a predefined threshold to convert analog readings into digital signals, which are then visualized as icons or underscore symbols on the display. This research follows an experimental approach involving hardware design, microcontroller programming, and direct testing on a robotic track. The system was tested in five different track position scenarios. The results show that the system consistently and responsively detects objects. The switching method proved effective in improving reading efficiency and enhancing the robot’s navigation stability for accurate line following..