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Fuzzy Steering Control For Wall-Following Behavior Of A Mobile Robot In Webots Simulation Danu Jaya Saputro; Siti Aisyah
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.1001

Abstract

Navigation logic plays a crucial role in enabling mobile robots to move autonomously and safely within structured environments. This study presents the development and simulation of a wall-following mobile robot designed to navigate along predefined boundaries while avoiding frontal obstacles. The simulation is implemented in the Webots environment, where the robot employs infrared proximity sensors integrated with a fuzzy logic–based control algorithm. Crisp distance measurements obtained from sensors PS5, PS6, and PS7 are fuzzified into linguistic variables, namely Near, Medium, and Far. Based on the defined input and output membership functions, the fuzzy controller determines appropriate steering actions, including strong turning and forward motion. The proposed approach evaluates the relationship between proximity sensor thresholds and the resulting steering velocity control, demonstrating the effectiveness of fuzzy inference in regulating wall-following behavior.
Peningkatan Kompetensi Digital Siswa Sekolah Menengah Atas Melalui Pelatihan Koding dan Kecerdasan Buatan: Program Bina Talenta Indonesia Ihsan Tanama Sitio; Danu Jaya Saputro; Muhammad Giriarda Abrari; Cepi Ramdani; Noer Fajrin
INTEGRATIF: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2026): INTEGRATIF: Jurnal Pengabdian Kepada Masyarakat
Publisher : Kilau Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60041/integratif.v4i1.474

Abstract

This community service program aimed to develop the potential of senior high school students in the fields of coding and artificial intelligence (AI). The hands-on training was conducted online via Zoom Meetings for synchronous sessions and an LMS for quizzes and exercises from September 15 to November 25, 2025. 60 senior high school students from 13 provinces across Indonesia participated and were divided into three classes. The results indicate that students’ knowledge increased substantially, as reflected in the improvement in mean test scores across all classes: from 54.87 to 83.13 in Class A, from 65.31 to 80.56 in Class B, and from 62.83 to 70.93 in Class C. The program demonstrated a significant positive impact, particularly in enhancing participants’ knowledge of artificial intelligence (AI) and coding, as well as their technical skills and character development.
ROS2-Based Motion Control Learning Framework for Differential Drive Mobile Robots Danu Jaya Saputro; Adhitya Sumardi Sunarya; Noval Lilansa
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1216

Abstract

This study aims to design and develop a motion control teaching aid for a differential wheel drive mobile robot as a learning medium in robotic courses. The system is implemented using the NVIDIA Jetbot AI platform integrated with the Robot Operating System (ROS2). The research methodology consists of planning, design, and implementation stages, covering wheel control and a preliminary autonomous control scheme. During the design stage, a differential drive control block diagram was developed by integrating trajectory reference input, robot kinematics, motor actuation, and wheel encoder feedback. The system implementation involves the development of multiple ROS2 nodes that communicate through standard topics, along with a web-based interface that supports both manual and autonomous control modes. Initial testing results indicate that the wheel control system provides stable motion response, while the ROS2-based architecture and web interface facilitate real-time monitoring and enhance students’ understanding of motion control concepts. This research is expected to support effective learning of motion control and autonomous mobile robot navigation in higher education.