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About

Nuryono Satya Widodo is an Indonesian robotics researcher whose work spans humanoid robot systems, autonomous navigation, computer vision, and intelligent control — areas in which he has made consistent and practical contributions to the field. Best known for his research on robot soccer platforms, Widodo developed foundational methods for colored ball tracking and vision-based self-localization in humanoid goalkeeper robots, work that has garnered over a decade of sustained citations. His investigations into balance control systems — integrating gyroscope and accelerometer sensors via MPU6050 on dance-performing humanoid robots — reflect his deep engagement with motion stability and real-world robot deployment, particularly within Indonesia's national robotics competitions (KRSTI and KRSBI). Widodo has also pioneered applications of deep learning and convolutional neural networks to improve real-time object recognition in competitive soccer robots, demonstrating his evolution alongside modern AI methodologies. Additional contributions include hexapod fire-fighting robots, PID-based flame navigation, color-sensor zone detection, and ROS-integrated quadcopter systems, collectively accumulating over 70 citations. His body of work positions him as a versatile and impactful figure in Indonesian robotics engineering and autonomous systems research.