Max Robotics — Global Service Robot Directory + US Certification

About

Barlian Henryranu Prasetio is a researcher specializing in robotics control systems, embedded computing, and network security. His work centers on the development and optimization of autonomous mobile robots, particularly self-balancing systems modeled on the inverted pendulum principle — a technically demanding domain that requires precise real-time control under unstable conditions. Prasetio's most significant contributions lie in the integration of advanced filtering and control algorithms. His implementation of the Ensemble Kalman Filter alongside PID controllers to achieve robot stabilization represents a notable methodological contribution, effectively reducing accelerometer sensor noise and improving system reliability in dynamic environments. Building on this foundation, his 2018 research introduced Feed-Forward Control as an additional layer of disturbance rejection, demonstrating a progressive refinement of his core research agenda. His most-cited work on this topic has accumulated nine citations, reflecting meaningful engagement from the robotics research community. Beyond robotics, Prasetio has also explored cybersecurity, investigating One-Time Password authentication as a countermeasure against brute-force attacks on embedded platforms such as Lego Mindstorms NXT. This breadth highlights his interest in building secure, intelligent, and responsive computing systems across both hardware control and network security domains.