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About

Riky Dwi Puriyanto is an emerging robotics and control systems researcher whose work spans autonomous mobile robot navigation, intelligent control algorithms, and embedded systems. His research portfolio centers on developing practical solutions for real-world robotic challenges, with particular expertise in differential drive mobile robots (DDMRs), omnidirectional systems, and autonomous navigation. Puriyanto's most significant contributions include pioneering work on fuzzy logic-based obstacle avoidance for DDMRs and advancing path planning through improved Artificial Potential Field algorithms, both adapted for dynamic environments — work that has collectively attracted nearly 30 citations. His investigations into PID control and Kalman filtering for balance robots demonstrate a strong command of classical and modern control theory, while his wireless battery monitoring systems for robotic platforms reflect a practical engineering sensibility valued in competitive robotics contexts. More recently, Puriyanto has embraced machine learning, exploring MobileNetV2 SSD-based ball detection for wheeled soccer robots, signaling a productive shift toward AI-integrated robotics. His work on Mecanum wheel systems and IMU-based localization further broadens his contributions to robot mobility and positioning. With over 85 cumulative citations and a growing publication record spanning foundational embedded control to cutting-edge autonomous systems, Puriyanto represents a dynamic voice in applied robotics research worth following closely.