Akhmad Hendriawan
Papers
1
Total Citations
2
H-Index
1
About
Akhmad Hendriawan is a robotics researcher whose work centers on human-robot interaction, computer vision, and autonomous mobile robot navigation. His primary contributions lie in developing reliable distance estimation systems for human-following mobile robots, addressing a critical challenge in enabling robots to safely and stably track human targets. His most-cited paper, "Human Target Distance Estimation System Using Mono-camera On Human-Following Mobile Robot" (2022), proposes a monocular camera-based approach that eliminates the need for expensive depth sensors, making human-following robots more accessible and practical. This work, which has garnered 2 citations, demonstrates his focus on cost-effective, real-world solutions. Hendriawan’s research has implications for service robotics, assistive technologies, and autonomous systems, where precise distance control is essential for safe interaction. His achievements include advancing the field of visual-based robot control, contributing to the development of more intuitive and responsive robotic companions.
Research Focus
Key Achievements
Top Papers
- 1