Muntaha Razak

Papers

Total Citations

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About

Muntaha Razak is a researcher in robotics and intelligent control systems, with a focus on adaptive neural control methodologies for autonomous mobile robots. Her most-cited work, "An adaptive neural control methodology design for dynamics mobile robot" (2022), has garnered 10 citations and introduces an innovative approach that combines adaptive artificial neural networks with an online tuning evolutionary slice genetic algorithm. This methodology significantly enhances mobile robot performance during trajectory tracking, particularly in environments with static obstacles, addressing critical challenges in nonlinear dynamics and real-time motion control. Razak’s contributions lie at the intersection of machine learning and robotics, offering practical solutions for improving autonomy and precision in robotic navigation. Her work is notable for integrating evolutionary algorithms with neural control, a novel strategy that advances the field of adaptive robotics. As an emerging researcher, her citation record reflects growing recognition of her contributions to intelligent control systems, positioning her as a promising voice in the development of more responsive and robust autonomous systems.