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A Visual-Based Pick and Place on 6 DoF Robot Manipulator Wijaya, Ryan Satria; Pratama, Adhitya; Fatekha, Rifqi Amalya; Soebhakti, Hendawan; Prayoga, Senanjung
Journal of Applied Electrical Engineering Vol. 8 No. 1 (2024): JAEE, June 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i1.7358

Abstract

This paper discusses the application of visual servoing on a 6 DOF robotic manipulator for industrial automation. With visual feedback, the manipulator can perform pick and place operations accurately and efficiently. We explore feature- and model-based visual servoing methods and object detection techniques, including deep learning algorithms. The experimental results show that the integration of visual servoing with pick and place method as well as object detection improves the performance of manipulators in industry. This research contributes to the understanding of visual servoing technology in industrial automation. The conclusion shows that the manipulator is more precise in controlling the X-axis shift in the first two experiments, but faces challenges in the third experiment. The success of the system is affected by environmental factors such as lighting. For further development, research is recommended to improve robustness to environmental variations as well as evaluation of execution speed and object positioning accuracy.
Penerapan Visual Servoing Robot Lengan dengan Metode Color Recognition sebagai Pemindah Objek Dua Warna Berbeda Wijaya, Ryan Satria; Rifqi Amalya Fatekha; Senanjung Prayoga; Dzaky Andrawan; Naurah Nazhifah; Mochamad Ari Bagus Nugroho
Journal of Applied Electrical Engineering Vol. 9 No. 1 (2025): JAEE, June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i1.9496

Abstract

Penerapan Visual servoing dengan metode color recognition merupakan sistem yang mengklasifikasikan objek berdasarkan warna dan posisi objek yang terdeteksi melalui kamera untuk menggerakkan servo pada robot lengan. Sistem ini menggunakan Huskylens sebagai kamera yang digunakan untuk mendeteksi warna dan posisi dari sebuah objek dan robot lengan untuk memindahkan objek yang sudah terdeteksi melalui kamera. Dari hasil pengujian, penerapan visual servoing robot lengan dengan metode color recognition dapat berfungsi dengan respon  rata-rata 0,9 detik untuk mengejar objek ketika objek tidak berada di posisi pengambilan dan berfungsi dengan baik untuk mengambil dan meletakkan objek dengan dua warna yaitu biru dan merah ketika berada di posisi pengambilan dengan persentase akurasi deteksi objek 98% serta persentase akurasi pengambilan dan pemindahan objek 100% melalui rentang jarak deteksi minimal 18 – 22 cm diatas objek dan dengan pencahayaan yang terang.
Implementation of Real-Time Swarm Drone Formation Using Firebase and MIT App Inventor with Interpolation-Based Control in Gazebo Wijaya, Ryan Satria; Soebhakti, Hendawan; Fatekha, Rifqi Amalya; Anggraini, Sarah
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11767

Abstract

This paper presents the implementation of a real-time swarm drone formation control system that leverages Firebase as the communication bridge and MIT App Inventor as the user interface. The simulation is conducted in the Gazebo environment with five quadcopter drones. Formation commands are sent from an Android application to Firebase, then processed by a Python-based ROS node to adjust drone positions. Four primary formations - line, triangle, circle, and star - are implemented, along with a dynamic mode enabling sequential transitions among multiple patterns. The integration of linear interpolation ensures smooth transitions, consistent timing, and stable hovering. Experimental results show an average response delay of 0.4–0.6 seconds and stable altitude at 3.5 meters. This approach demonstrates an intuitive and scalable swarm control method. Future enhancements may include telemetry feedback, Firebase authentication, and PID tuning to optimize control accuracy.
Robotics training to improve STEM skills of Islamic boarding school students in Batam Eko Rudiawan Jamzuri; Hendawan Soebhakti; Senanjung Prayoga; Rifqi Amalya Fatekha; Anugerah Wibisana; Fitriyanti Nakul; H. Hasnira; Riska Analia; S. Susanto; Ryan Satria Wijaya; Ika Karlina Laila Nur Suciningtyas; Widya Rika Puspita; Eka Mutia Lubis; Adlian Jefiza; B. Budiana; Ahmad Riyad Firdaus
Journal of Community Service and Empowerment Vol. 5 No. 1 (2024): April
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jcse.v5i1.26895

Abstract

One potential approach to addressing the challenges posed by the advent of Industry 4.0 and Society 5.0 is to offer robotics training. This endeavor aims to enhance students' foundational understanding of STEM (Science, Technology, Engineering, and Mathematics) disciplines. The study involved collaborating with the Pondok Pesantren Granada, an Islamic Boarding School located in Batam, to provide robotics training as community service activities. The study included 29 trainees: 15 from class XI and 7 from classes X and XII. The teaching was conducted using a combination of didactic instruction, interactive discourse, and hands-on exercises. Trainees are administered a written examination to assess their proficiency level before and after the training program. The training outcomes exhibited a significant improvement in the mean STEM proficiency of trainees, with an increase of 38.15%. Furthermore, a series of activities have been effectively implemented, resulting in trainee satisfaction ratings exceeding 50% concerning course materials, trainer, and teaching equipment. A mere 17% of the individuals undergoing training expressed dissatisfaction with the allocated time, particularly the hands-on component's duration.