Syafiq Fauzi Kamarulzaman
Papers
3
Total Citations
32
H-Index
3
About
Syafiq Fauzi Kamarulzaman is a researcher at the forefront of autonomous systems and intelligent robotics, with a focus on safety, cooperation, and real-world deployment. His work spans critical areas including autonomous driving threat assessment, multi-agent coordination, and robotic solutions for environmental challenges. Kamarulzaman’s most impactful contribution is his learning-based conceptual framework for threat assessment in multiple-vehicle collision scenarios for autonomous driving, which has garnered 17 citations. This work addresses the critical safety challenge of unexpected lane changes, a leading cause of accidents, by proposing a predictive model to enhance decision-making in autonomous vehicles. He has also advanced the field of multi-agent systems with his compound learning control approach for formation management, enabling multiple autonomous agents to cooperate effectively despite individual decision-making protocols. Demonstrating a commitment to practical innovation, Kamarulzaman developed a smart garbage bin robot using the Robot Operating System (ROS) with obstacle avoidance, directly tackling hygiene issues in Malaysia. His research, cited over 30 times, bridges theoretical control systems with tangible applications, making significant strides toward safer autonomous driving and smarter urban infrastructure.
Research Focus
Key Achievements
Top Papers
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