Papers
3
Total Citations
143
H-Index
3
About
Mustafa Mamat is a leading researcher in nonlinear dynamics, chaos theory, and intelligent robotic systems. His work bridges theoretical complexity with practical engineering, most notably through the design of novel chaotic systems for secure communications and autonomous navigation. His highly cited 2017 paper introduced a new three-dimensional chaotic system with a hidden attractor—a system with no equilibrium points yet rich, unpredictable behavior—which he then applied to circuit design and wireless mobile robot control (93 citations). Mamat also pioneered the integration of adaptive neuro-fuzzy inference systems (ANFIS) with Arduino microcontrollers for real-time colored object detection using a 5-DOF robotic arm (26 citations). In another influential study, he developed a 3-D novel jerk chaotic system and demonstrated its dual use in secure communication and mobile robot navigation (24 citations). These contributions showcase Mamat’s unique ability to transform abstract chaos theory into tangible, real-world technologies, making him a key figure in the advancement of intelligent, secure, and autonomous robotic systems.
Research Focus
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