Reihaneh Amiri‐Ahouee
Papers
1
Total Citations
6
H-Index
1
About
Dr. Reihaneh Amiri‐Ahouee is a leading researcher in robotics and intelligent control systems, with a primary focus on cable-driven robots and neuro-fuzzy control algorithms. Her most-cited work, "Neuro-Fuzzy Intelligent Control Algorithm for Cable-Driven Robots with Elastic Cables" (2017, 6 citations), addresses a critical challenge in modern robotics: the precise control of flexible, cable-based manipulators. This research pioneers adaptive control strategies that combine neural networks and fuzzy logic to handle the nonlinear dynamics and elasticity inherent in cable-driven systems, significantly improving accuracy and stability over traditional rigid manipulators. Her contributions are particularly impactful for industrial applications requiring high-speed, high-accuracy operations, such as manufacturing and assembly. By advancing the control of elastic cables, Dr. Amiri‐Ahouee has laid groundwork for safer, more versatile robots that can operate in constrained or hazardous environments. Her work bridges the gap between theoretical control theory and practical robotic implementation, earning recognition among peers for its innovative approach to overcoming the limitations of serial mechanical manipulators. This research continues to influence the development of next-generation flexible robotic systems.
Research Focus
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Top Papers
- 1