Ahmad Shakaff Ali Yeon
Papers
12
Total Citations
118
H-Index
7
About
Ahmad Shakaff Ali Yeon is a leading researcher in mobile olfaction and gas sensing robotics, whose work bridges the critical gap between robot perception and environmental monitoring. His primary research areas include gas distribution mapping (GDM), simultaneous localization and mapping (SLAM), and bio-inspired gas source localization. Yeon’s most significant contribution is the development of the SLAM-GDM framework, which integrates real-time robot positioning with gas concentration modeling to enable accurate gas source localization—a foundational advance cited 31 times. He has also pioneered the use of behavior-based robotics combined with olfactory and visual sensing, demonstrating how robots can mimic biological organisms to trace gas plumes in dynamic environments. His work on the cross-sensitivity of metal oxide gas sensors to temperature and humidity (13 citations) has been instrumental in improving the reliability of mobile gas sensing systems. Yeon has further explored innovative approaches such as the Grey Wolf Optimizer for gas source localization and deep neural networks for gas distribution mapping, showcasing his commitment to leveraging artificial intelligence in environmental robotics. His research, totaling over 110 citations, has been validated through practical implementations in structured indoor environments, making him a key figure in advancing autonomous gas sensing technologies for safety and environmental applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Implementation of Behaviour Based Robot with Sense of Smell and Sight17 citations · 2015
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- 4Mobile robot localization system using multiple ceiling mounted cameras12 citations · 2015
- 5Gas Source Localization using Grey Wolf Optimizer9 citations · 2018
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