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About

Adik Susilo Wardoyo is a robotics and control systems researcher whose work centers on autonomous navigation, self-balancing systems, and environmental monitoring. His most influential contribution is the development of a hybrid fuzzy logic and PID control algorithm for two-wheeled self-balancing robots, detailed in his 2015 paper (17 citations). This work demonstrated how combining fuzzy logic with traditional PID control could optimize robot stability under varying disturbance forces, using MATLAB simulations to validate the approach. Wardoyo has also advanced autonomous navigation for environmental applications, particularly forest fire monitoring. His 2022 study on Ardupilot-controlled rover navigation (2 citations) and his 2021 experimental work on XBee communication performance (2 citations) address critical challenges in deploying robotic platforms for remote data collection in Indonesia’s vast forested areas. These contributions highlight his commitment to practical, field-ready robotics solutions for environmental protection. Wardoyo’s research bridges control theory and real-world deployment, making him a notable figure in the development of autonomous systems for disaster prevention and ecological monitoring.