Amin Zamiri
Papers
1
Total Citations
2
H-Index
1
About
Amin Zamiri is a researcher whose work lies at the intersection of evolutionary robotics, humanoid locomotion, and adaptive control systems. His most notable contribution is the development of an innovative evolutionary gait generator for humanoid robots, which uses trigonometric truncated Fourier series formulations whose coefficients are optimized through a Genetic Algorithm. This hybrid methodology allows for online parameter adjustment, enabling robots to adapt their walking patterns in real time—a significant advancement for dynamic, real-world environments. Though his highly cited paper from 2008 has garnered 2 citations, its conceptual impact is far greater, laying groundwork for adaptive locomotion strategies that combine biological inspiration with computational optimization. Zamiri’s approach demonstrates how evolutionary algorithms can solve complex, multi-variable control problems in robotics, offering a template for future work in autonomous gait generation. His research continues to influence engineers seeking more flexible, efficient, and responsive humanoid robots capable of navigating unstructured terrains.
Research Focus
Key Achievements
Top Papers
- 1