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Unang Sunarya is a robotics researcher whose work bridges intelligent localization, human-robot interaction, and cultural technology. His most cited paper, "A study of Monte Carlo localization on robot operating system" (2016, 17 citations), tackles the fundamental challenge of global localization in robotics. By implementing Monte Carlo Localization (MCL) using particle filters, Sunarya provided a practical, easy-to-deploy solution for determining a robot's position in uncertain environments—a critical capability for autonomous navigation. He further explored environmental sensing in "PERANCANGAN ROBOT PENDETEKSI LINGKUNGAN BERBAHAYA BERBASIS LOGIKA FUZZY DAN KONTROL ANDROID" (2016, 4 citations), where he applied fuzzy logic and Android control to detect hazardous gases, demonstrating a commitment to safety-oriented robotics. Sunarya also innovates at the intersection of robotics and heritage, as seen in "ANGKLUNG ROBOT CONTROL SYSTEM BASED ON MICROCONTROLLER" (2020, 2 citations), which automates the traditional Indonesian angklung instrument—a UNESCO-recognized art form. Additionally, his work on "Perancangan Dan Implementasi Tangan Robot Buatan Dengan Menggunakan Elektromiogram" (2015, 2 citations) advances medical robotics by designing a prosthetic hand controlled by electromyogram (EMG) signals. With over 25 citations across these key works, Sunarya’s research demonstrates a versatile impact, from foundational localization algorithms to culturally-aware and assistive robotic systems.