Syamsul Bahrin Abdul Hamid
Papers
2
Total Citations
4
H-Index
2
About
Syamsul Bahrin Abdul Hamid is a robotics researcher focused on autonomous navigation and vision-guided mobile systems. His work centers on developing intelligent path planning algorithms and computer vision solutions for real-world robotic applications. In his foundational paper "Vision Aided Path Planning for Mobile Robot" (2014, 2 citations), he provides a comprehensive historical overview and methodology for integrating visual data into autonomous navigation, enabling robots to traverse environments without human intervention. Earlier, in "Development of a Vision System for a Floor Marking Mobile Robot" (2008, 2 citations), he tackled a practical industrial challenge—automating the labor-intensive process of marking exhibition floors. By designing a camera-based system that could interpret spatial layouts and guide a robot to mark booth boundaries, Hamid demonstrated how robotics can streamline construction and event logistics. Though his citation counts are modest, his contributions are notable for bridging theoretical path planning with applied vision systems, offering foundational insights for students and researchers exploring autonomous navigation. His work underscores the importance of marrying computer vision with robotics to solve tangible, real-world problems, making him a valuable reference for those entering the field of mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1Vision Aided Path Planning for Mobile Robot2 citations · 2014
- 2Development of a Vision System for a Floor Marking Mobile Robot2 citations · 2008