Saiful Asnawi
Papers
2
Total Citations
10
H-Index
2
About
Saiful Asnawi is a robotics researcher focused on autonomous navigation and human-robot interaction, with particular expertise in vision-based target tracking and environmental perception. His work centers on developing intelligent robotic systems capable of identifying and following objects or navigating through indoor spaces using computer vision techniques. In his highly cited paper on a room searching robot, Asnawi introduced a novel approach combining door detection with room number recognition, enabling automatic target shooter robot applications—a contribution that has garnered 5 citations for its practical integration of visual cues for autonomous navigation. His equally cited work on a target follower robot demonstrates his skill in applying HSV color space methods to enable robots to track objects based on shape and color, specifically designed for assistant robot applications that aid human activities. These projects showcase Asnawi’s ability to bridge theoretical computer vision with real-world robotic functionality, addressing the growing need for automated assistance systems. His research holds particular relevance for students and engineers interested in low-cost, vision-based robotics solutions for service and assistive technologies.
Research Focus
Key Achievements
Top Papers
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