Hj. Mohd Asri Hj. Mansor
Universiti Teknologi MARA, Universiti Teknologi MARA System, University of Kuala Lumpur
Papers
3
Total Citations
21
H-Index
3
About
Hj. Mohd Asri Hj. Mansor is a researcher advancing the frontier of autonomous systems through lightweight, self-learning artificial intelligence. His work centers on enabling machines—particularly mobile robots—to adapt and react intelligently to unforeseen events without relying solely on preprogrammed responses. His most-cited paper (2016, 10 citations) introduces a hybrid AI algorithm that empowers autonomous systems to modify their behavior in real time, moving beyond static, expert-defined rules. In related work (2015, 7 citations), he demonstrates a novel simulation of mobile robot navigation that combines reinforcement learning with unsupervised weightless neural networks, allowing the system to discover optimal behaviors through trial and error. A third key contribution (2017, 4 citations) refines this approach by using weightless neural networks as autonomous state classifiers, reducing the need for human experts to predefine every possible state and action. Together, these papers form a cohesive body of work that pushes toward more flexible, efficient, and truly self-learning autonomous agents. Mansor’s research is particularly relevant for applications in robotics, automation, and intelligent systems where adaptability is critical.
Research Focus
Key Achievements
Top Papers
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