Saiful Anwar
Papers
1
Total Citations
6
H-Index
1
About
Saiful Anwar is a robotics researcher whose work centers on autonomous navigation and human-robot interaction, with a particular focus on person-following control systems for differential wheeled robots. His most-cited paper, "A Simple Algorithm for Person-Following Robot Control with Differential Wheeled based on Depth Camera" (2019, 6 citations), presents a streamlined approach to enabling robots to track and follow human subjects using depth-sensing technology—a critical capability for applications in service robotics, manufacturing, and collaborative automation. This contribution aligns with the broader context of Industry 4.0, where autonomous machines increasingly work alongside humans in industrial and domestic settings. Anwar’s work addresses the practical challenge of making robot control algorithms both efficient and accessible, reducing computational complexity while maintaining reliable performance. Though his citation count is modest, his research represents a foundational step in developing intuitive, real-time robotic systems that can safely and effectively interact with people. By bridging algorithm design with real-world deployment, Anwar contributes to the growing field of human-aware robotics, where machines learn not just to operate, but to cooperate.
Research Focus
Key Achievements
Top Papers
- 1