Herman Dwi Surjono
Papers
3
Total Citations
5
H-Index
2
About
Herman Dwi Surjono is an emerging researcher at the intersection of robotics, control systems, and educational technology. His work primarily focuses on enhancing autonomous systems through advanced machine learning and control strategies, while also pioneering innovative approaches to engineering education. Surjono’s most notable contribution involves integrating gamification with line-following robots to boost student engagement and constructivist skills in technical disciplines—a novel approach that addresses the critical need for interactive learning in engineering. In the realm of robotics, he has systematically compared state-feedback controllers for stabilizing two-wheeled robots, providing valuable insights into balancing mechanisms. His recent work on self-driving mobile robots introduces a denoising autoencoder to enhance deep reinforcement learning, tackling the challenge of noisy sensor data in autonomous navigation. With a growing citation footprint across his key publications, Surjono is establishing himself as a versatile contributor to both robotics research and pedagogical innovation. His work demonstrates a rare ability to bridge theoretical control problems with practical educational applications, making him a researcher to watch in the evolving landscape of intelligent systems and engineering education.
Research Focus
Key Achievements
Top Papers
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