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About

A. B. Shahriman is a robotics researcher whose work bridges human-robot interaction, autonomous navigation, and industrial automation. His key research areas include cooperative human-robot tasks, mobile robot control, multi-robot communication, and vision-guided robotic systems. Shahriman’s major contributions center on understanding human movement dynamics in cooperative tasks to design smoother, more intuitive robot behavior—critical for assistive robotics in aging populations and disability care. He has also advanced autonomous mobile robot navigation through differential steering control and fuzzy logic systems, improving trajectory tracking accuracy. His work on homogeneous multi-robot communication via Bluetooth explores scalable coordination strategies for team-based automation. In industrial applications, Shahriman has tackled real-world challenges, including developing a smart robotic precision painting system for Boeing aircraft composite panels, addressing manual painting issues at Aerospace Composites Malaysia. His most cited paper (8 citations) analyzes hand movement characteristics in human-human cooperative tasks, laying groundwork for human-robot collaboration. With additional studies on vision-integrated pick-and-place robots and fuzzy logic navigation, Shahriman’s research demonstrates a practical focus on enhancing robot adaptability and human-robot synergy across healthcare, manufacturing, and autonomous systems.