Alex Surapati

Papers

Total Citations

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About

Alex Surapati is a robotics researcher whose work focuses on intelligent autonomous systems, particularly in firefighting and obstacle avoidance. His most cited paper, "PERANCANGAN ROBOT PEMADAM API MENGGUNAKAN KONTROL PID" (2014, 3 citations), addresses the critical need for safer firefighting by designing a PID-controlled robot that can navigate hazardous indoor environments, reducing risks to human firefighters from falling debris and smoke. This contribution highlights his commitment to applying control theory to life-saving robotics. In his more recent work, "ROBOT OBSTACLE AVOIDANCE DENGAN ALGORITMA Q-LEARNING" (2021, 2 citations), Surapati advances the field by integrating reinforcement learning—specifically Q-Learning—into a wheeled robot prototype. Using an Arduino Mega2560 and five ultrasonic sensors, his system enables adaptive navigation without pre-programmed paths, showcasing a shift toward machine learning-driven autonomy. Though his citation counts are modest, his work represents foundational steps in merging classical control with modern AI for practical robotics. Surapati’s research is particularly valuable for students and engineers interested in low-cost, real-world implementations of PID and reinforcement learning algorithms in mobile robots, bridging theory and application in safety-critical domains.