Abdul Hamid Adom
Papers
20
Total Citations
211
H-Index
6
About
Abdul Hamid Adom is a versatile researcher whose work spans robotics, brain-computer interfaces, and autonomous systems engineering. He is perhaps best known for his pioneering contributions to EEG-based assistive technologies, most notably his development of intelligent robotic wheelchair systems controlled through thought alone — work that has garnered 68 citations and represents a significant advancement for differentially enabled communities. His research trajectory traces a sustained commitment to mobile robotics, encompassing autonomous navigation, environment mapping, and localization. His 2015 study on RP LiDAR-based mobile robot mapping attracted 35 citations, while his earlier GPS-guided obstacle avoidance work from 2009 reflects his long-standing engagement with practical navigation challenges. Adom has also explored novel sensor architectures, including a custom 16-unit ultrasonic sensor bank for real-time 2D and 3D indoor mapping, alongside KNN-based localization algorithms. More recently, his interests have extended to optimal control strategies for pneumatic servo systems using particle swarm optimization. Across more than a decade of research, Adom has built a body of work that bridges human-machine interaction, intelligent sensing, and autonomous robotics — offering meaningful contributions to both accessibility technology and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2A mapping mobile robot using RP Lidar scanner35 citations · 2015
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- 4
- 5Scan matching and KNN classification for mobile robot localisation algorithm11 citations · 2017
- 6Indoor Scanning and Mapping using Mobile Robot and RP Lidar10 citations · 2016
- 7Indoor mobile robot localization using KNN6 citations · 2016
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- 9
- 10Robot chair control using an asynchronous brain machine interface5 citations · 2010