Khusnul Hidayat
Universitas Muhammadiyah Jember, Universitas Muhammadiyah Malang
Papers
5
Total Citations
31
H-Index
3
About
Khusnul Hidayat is a researcher specializing in computer vision, autonomous robotics, and intelligent systems, with a particular focus on omnidirectional vision technologies applied to robotic soccer. His most significant contributions center on developing sophisticated object detection frameworks that combine Particle Swarm Optimization (PSO) with neural networks, enabling robots to accurately identify and locate objects such as balls, goalposts, and field markings within dynamic environments. His 2018 paper on omnidirectional vision using PSO-Neural Networks for soccer robots stands as his most influential work, accumulating 19 citations and establishing a foundation for subsequent research in the field. Building on this, Hidayat extended his work to address trajectory prediction of moving objects, demonstrating practical applications in goalkeeper robot behavior during competitive Indonesian wheeled soccer robot tournaments. His research tackles real-world challenges in multi-robot coordination, where anticipating the movement of a ball in highly dynamic scenarios is critical to competitive performance. With a combined citation count approaching 31 across closely related works, Hidayat has made a meaningful contribution to the robotics research community, particularly within the Southeast Asian academic landscape, inspiring further exploration of vision-based autonomous systems.
Research Focus
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Top Papers
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