Affan Bachri

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About

Affan Bachri is a researcher in robotics and computer vision, with a focus on developing intelligent assistant systems that enhance human-robot interaction. His most-cited work, “Robot Pengikut Target Berdasarkan Bentuk dan Warna Menggunakan Metode HSV Untuk Aplikasi Assistant Robot” (2021), introduces a follower robot capable of autonomously tracking a target using shape and color recognition via the HSV color space method. This contribution addresses a practical need for automated assistance in daily activities, demonstrating how low-cost vision-based systems can enable robots to follow objects reliably. With 5 citations, this paper underscores Bachri’s early impact in applied robotics, particularly in the design of assistant robots that operate in real-world environments. His research bridges fundamental image processing techniques with tangible robotic applications, offering a foundation for further innovations in autonomous navigation and human-robot collaboration. Bachri’s work is especially relevant for students and researchers exploring accessible, vision-driven solutions for assistive robotics, highlighting the potential of simple yet effective algorithms to create responsive, helpful machines.