Indra Bin Mohd Zin
University of Fukui, University Kebangsaan Malaysia Medical Centre
Papers
4
Total Citations
32
H-Index
3
About
Indra Bin Mohd Zin is a pioneering roboticist whose research focuses on bridging neuroscience and autonomous robotics, particularly in developing intelligent control systems for mobile robots operating in dynamic, real-world environments. His most influential work, "A Spiking Neural Network with dynamic memory for a real autonomous mobile robot in dynamic environment" (2008, 18 citations), introduced a novel two-level control architecture that integrates low-level reactive behaviors with high-level cognitive learning and memory, enabling a physical robot to navigate optimally amid unpredictable changes. This hierarchical approach was further refined in his 2009 paper (8 citations), demonstrating adaptive learning that allows robots to continuously update their internal models without human intervention. Zin’s contributions extend to exploring internal simulation and imagination in robots, as seen in his 2008 work on vision-sensorimotor abstraction (3 citations), which draws on neuroscience principles to enable robots to predict outcomes without physical action. His Pattern Association Network Controller (PAN-C) (2008, 3 citations) showcases robust adaptation in complex terrains. By grounding abstract neural concepts in tangible robotic applications, Zin has advanced the frontier of autonomous navigation, offering a blueprint for machines that learn, remember, and adapt like living organisms.
Research Focus
Key Achievements
Top Papers
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