Muhammad Fadhil Abdullah
Papers
1
Total Citations
9
H-Index
1
About
Muhammad Fadhil Abdullah is a robotics researcher whose work focuses on autonomous aerial systems, computer vision, and fire detection technologies. His most cited paper, "Position estimation and fire detection based on digital video color space for autonomous quadcopter using odroid XU4" (2016, 9 citations), addresses a critical real-world problem: forest fires in Indonesia. This research was developed in the context of the Indonesian Aerial Robot Contest (KRTI), a national competition for Unmanned Aerial Vehicles (UAVs) that challenges teams to design autonomous aerial fire extinguishers. Abdullah's contribution lies in integrating digital video color space analysis for position estimation and fire detection, enabling a quadcopter to autonomously identify and respond to fire locations using an Odroid XU4 onboard computer. His work demonstrates practical applications of computer vision in disaster response, bridging the gap between academic research and national needs. While his citation count is modest, the impact of his research is significant within the Indonesian robotics community, where it has informed subsequent UAV designs for environmental monitoring and emergency response. Abdullah's achievements highlight the importance of context-driven innovation in robotics.
Research Focus
Key Achievements
Top Papers
- 1