Nuralif Mardiyah
Universitas Muhammadiyah Jember, Universitas Muhammadiyah Malang
Papers
4
Total Citations
27
H-Index
3
About
Nuralif Mardiyah is a researcher whose work sits at the intersection of robotics, computer vision, and intelligent systems. Best known for pioneering contributions to autonomous robot perception, Mardiyah has made a significant mark through innovative applications of bio-inspired optimization techniques in real-world robotic contexts. Their most influential work focuses on omnidirectional vision systems for soccer robots, employing Particle Swarm Optimization (PSO) combined with neural networks to enable robust object detection — identifying critical elements such as balls, goalposts, and field lines while accurately estimating distances and angles. This research, which has accumulated over 19 citations, addresses a fundamental challenge in autonomous robot navigation and decision-making in dynamic environments. Beyond robotic soccer, Mardiyah has extended their expertise to environmental monitoring through the development of a microcontroller-based Remotely Operated Vehicle (ROV) capable of collecting contaminated water and soil samples from hazardous areas. This work demonstrates a compelling commitment to applying robotics for real-world societal benefit, integrating GPS, accelerometry, and wireless control systems. Together, these contributions reflect a researcher dedicated to bridging intelligent algorithms with practical, impactful engineering solutions across diverse domains.
Research Focus
Key Achievements
Top Papers
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