Fina Supegina

About

Fina Supegina is a robotics researcher whose work bridges hardware design and mathematical modeling for autonomous navigation. Her most cited paper (14 citations) presents a color-sorting robot built on an Arduino Uno platform, capable of detecting six distinct colors using an RGB LED sensor and displaying results on an LCD—a practical contribution to automated object classification. She has made significant theoretical advances in mobile robot navigation, introducing the Mirror Petri Net method (7 citations) that enables robots to execute reversed or mirrored movements, particularly useful for selfie-related imaging applications. Her research further extends to the mathematical foundations of navigation, developing Reachability Petri Net models (5 citations) that help robots navigate complex environments with multiple obstacles and decision points. Beyond technical contributions, Supegina is committed to community engagement, having led a workshop introducing robotics technology to youth at the Al Hikmah Mosque in West Jakarta using RoboMind 4 software. Her work demonstrates a rare combination of hands-on prototyping, formal mathematical modeling, and educational outreach, making robotics accessible to both researchers and the broader community.

Research Focus

Key Achievements

Top Papers

1. 1
   PERANCANGAN ROBOT PENCAPIT UNTUK PENYOTIR BARANG BERDASARKAN WARNA LED RGB DENGAN DISPLAY LCD BERBASIS ARDUINO UNO

   14 citations · 2014
2. 2
   Design of Navigation Mobile Robot Using Mirror Petri Net Method and Radio Frequency Identification

   7 citations · 2018
3. 3
   Mathematics base for mobile robot navigation using mirror petri net Method

   7 citations · 2019
4. 4
   Mathematics Base for Navigation Mobile Robot Using Reachability Petri Net

   5 citations · 2018
5. 5
   PENGENALAN TEKNOLOGI ROBOT MENGGUNAKAN SOFTWARE ROBOMIND 4 UNTUK REMAJA MASJID AL HIKMAH TAMAN ARIES JAKARTA BARAT

   2 citations · 2020

Key Collaborators

Contact & Links