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About

R. Rizal Isnanto is a robotics and embedded systems researcher whose work bridges intelligent automation and practical engineering solutions. His primary research areas include Internet of Things (IoT)-based robotics, computer vision, and autonomous navigation systems. His most impactful contribution is the design of an agricultural soil monitoring robot using the ESP-NOW protocol (21 citations), which demonstrates how low-latency wireless communication can enable real-time environmental sensing for precision farming. He has also developed a fuzzy logic-controlled tennis ball picker robot (6 citations) that uses object tracking to autonomously collect balls from courts, showcasing his expertise in vision-based robotics. His wall-climbing robot prototype, controlled via an ATmega 2560 microcontroller with wireless obstacle avoidance, further highlights his skill in creating practical, mobile robotic platforms. In computer vision, Isnanto has advanced object tracking by combining Circle Hough Transform and CAMSHIFT methods, and has worked on corner detection using chain codes for two-dimensional shape recognition. His work consistently integrates embedded control, wireless communication, and intelligent algorithms, making him a notable contributor to the development of autonomous systems for real-world applications.