Ahmad Redzuan Mohd Hanapiah
Papers
1
Total Citations
2
H-Index
1
About
Ahmad Redzuan Mohd Hanapiah is a robotics researcher whose work focuses on deploying intelligent robotic systems for real-world public health and safety challenges. His primary research areas include heterogeneous robot systems, deep learning for autonomous navigation, and human-robot interaction in indoor environments. His most notable contribution is the development of **CovidSense**, a heterogeneous robot system designed for indoor COVID-19 mitigation. This work, published in 2022, integrates deep learning techniques to enable robots to autonomously monitor, disinfect, and assist in high-risk areas, addressing the critical need for reducing human exposure to the virus. With 2 citations to date, this paper has laid foundational groundwork for using multi-robot systems in pandemic response. Hanapiah’s research stands out for its practical, application-driven approach—bridging advanced AI with tangible solutions for infection control. His work is particularly relevant for students and researchers interested in field robotics, autonomous systems, and the intersection of AI with public health. By focusing on deployable, real-time solutions, Hanapiah contributes to a growing body of work that prepares societies for future health emergencies through robotics.
Research Focus
Key Achievements
Top Papers
- 1