Mohd Badril Nor Shah
Papers
1
Total Citations
4
H-Index
1
About
Mohd Badril Nor Shah is a robotics researcher whose work focuses on bio-inspired locomotion control, particularly the optimization of Central Pattern Generators (CPGs) for legged robots. His most cited paper, "Optimizing central pattern generators (CPG) controller for one legged hopping robot by using genetic algorithm (GA)" (2018), introduces a novel approach that integrates CPG-based control with conventional Proportional-Integral (PI) controllers, optimized through Genetic Algorithms (GA). This work addresses the challenge of achieving stable, rhythmic motion in robotic systems by mimicking biological neural circuits. With 4 citations, this foundational study contributes to the broader field of adaptive locomotion, offering a framework that balances computational efficiency with dynamic stability. Nor Shah's research is particularly relevant for students and engineers exploring neural control architectures, evolutionary optimization, and the intersection of biology and robotics. His work underscores the potential of hybrid control strategies in advancing autonomous, energy-efficient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1