Yurni Oktarina
Papers
30
Total Citations
439
H-Index
12
About
Yurni Oktarina is an Indonesian robotics and automation researcher whose work sits at the dynamic intersection of agricultural technology, robot control systems, and intelligent machine design. Her research is primarily driven by the urgent challenge of modernizing Indonesia's agricultural sector, where labor shortages and declining youth participation demand innovative technological solutions. Oktarina has made significant contributions to agricultural robotics, developing fruit-sorting robots guided by color and size recognition (83 citations), tomato-harvesting arm manipulators, and BLOB analysis-based vision systems that enable robots to detect and handle produce with precision. Her expertise extends to advanced control methodologies, including fuzzy logic controllers and Fuzzy-PID systems applied to 4-DOF robot manipulators, as well as visual servoing techniques reviewed comprehensively in a widely referenced 2018 paper (35 citations). Beyond agriculture, she has explored sustainable robotics through solar-powered mobile transportation prototypes and neural network-based mobile robot navigation systems. With over 280 cumulative citations across her most recognized works, Oktarina's research consistently bridges theoretical control engineering with real-world agricultural and industrial applications, making her a notable voice in Southeast Asian robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Visual Servoing Design and Control for Agriculture Robot; a Review35 citations · 2018
- 4
- 5Tomato Harvesting Arm Robot Manipulator; a Pilot Project32 citations · 2020
- 6
- 7Fuzzy-PID Controller Design of 4 DOF Industrial Arm Robot Manipulator22 citations · 2019
- 8BLOB Analysis for Fruit Recognition and Detection17 citations · 2018
- 9Neural network controller design for a mobile robot navigation; A case study15 citations · 2017
- 10Object Following Design for a Mobile Robot using Neural Network13 citations · 2017