Abu Hassan Abdullah
Papers
12
Total Citations
107
H-Index
6
About
Abu Hassan Abdullah is a robotics and sensing systems researcher whose work spans mobile robotics, simultaneous localization and mapping (SLAM), and electronic nose (e-nose) technology, with a particular focus on hazardous and confined space applications. His most cited contribution, "Method to Convert Kinect's 3D Depth Data to a 2D Map for Indoor SLAM" (2013, 31 citations), demonstrated an innovative approach to leveraging low-cost depth sensors for indoor robot navigation, advancing accessible solutions for autonomous mapping. Abdullah has made significant strides in gas sensing research, investigating the cross-sensitivity of metal oxide sensors to environmental conditions and developing flexible, autonomous characterization systems — work that underpins reliable atmospheric monitoring in real-world deployments. A defining thread throughout his career is the integration of e-nose systems with mobile robots for confined space safety monitoring, encompassing sensor design, purging techniques, calibration, and application-specific development. His swarm robotics work on odour plume tracking further reflects a commitment to biologically inspired, multi-agent sensing strategies. With over 100 cumulative citations, Abdullah's research makes meaningful contributions to worker safety, autonomous navigation, and intelligent sensing — areas of growing importance across industrial and humanitarian robotics applications.
Research Focus
Key Achievements
Top Papers
- 1Method to convert Kinect's 3D depth data to a 2D map for indoor SLAM31 citations · 2013
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- 5Braitenberg swarm vehicles for odour plume tracking in laminar airflow8 citations · 2013
- 6Electronic nose purging technique for confined space application7 citations · 2017
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- 9Electronic Nose Calibration Process for Monitoring Atmospheric Hazards in Confined Space Applications5 citations · 2018
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