Mustafa Manap
Papers
1
Total Citations
4
H-Index
1
About
Mustafa Manap is a researcher in robotics and control systems, with a particular focus on bio-inspired locomotion and optimization techniques. His work centers on the development and refinement of Central Pattern Generator (CPG) controllers—neural circuits that produce rhythmic motor patterns—for legged robots. In his most cited paper, "Optimizing central pattern generators (CPG) controller for one legged hopping robot by using genetic algorithm (GA)" (2018, 4 citations), Manap introduces a novel approach that integrates CPG controllers with conventional Proportional-Integral (PI) controllers, then optimizes the combined system using Genetic Algorithms. This hybrid method addresses key challenges in stabilizing and controlling dynamic hopping motions, contributing to more efficient and adaptive robotic locomotion. Though his citation count is modest, his work represents a meaningful step in bridging biological inspiration with engineering practice. Manap’s research is particularly relevant for students and researchers interested in robotics, control theory, and evolutionary optimization, offering a practical framework for designing controllers that can adapt to complex, real-world environments.
Research Focus
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Top Papers
- 1