Abang Ahmad Afiq
Papers
1
Total Citations
7
H-Index
1
About
Abang Ahmad Afiq is a robotics researcher whose work focuses on human-robot interaction and autonomous navigation, particularly for service applications in structured environments. His most-cited paper, "Object Tracking and Following Robot Using Color-Based Vision Recognition for Library Environment" (2018, 7 citations), addresses a key challenge of Industry 4.0: enabling robots to seamlessly follow and assist humans in everyday settings. By developing a color-based vision recognition system, Afiq demonstrated a practical, low-cost approach to real-time object tracking that allows service robots to navigate and maintain proximity to users in spaces like libraries. This work contributes to the broader goal of creating intuitive, co-existing robotic assistants that can support tasks in public and institutional environments. While his citation count reflects an emerging career, Afiq’s research lays important groundwork for accessible, vision-driven robotic following systems. His focus on library environments—a controlled yet dynamic space—offers a replicable model for deploying assistive robots in similar indoor settings, highlighting his commitment to bridging the gap between experimental robotics and real-world service applications.
Research Focus
Key Achievements
Top Papers
- 1