Arash Fanaei

Iran University of Science and Technology

Papers

Total Citations

H-Index

About

Arash Fanaei is a leading figure in the field of intelligent robotic control, with a primary focus on hybrid position/force control for robotic manipulators. His work addresses the critical challenge of enabling robots to interact safely and precisely with unknown or unstructured environments. Fanaei’s major contribution lies in pioneering the integration of adaptive neuro-fuzzy systems with robust control theory, creating controllers that can learn and adapt in real-time to varying contact forces and surface friction. His seminal 2006 paper, which has garnered 32 citations, introduces a robust adaptive neuro-fuzzy controller that significantly improves the stability and accuracy of force control during physical interaction. This work, along with his earlier 2005 study (8 citations), has laid a foundational framework for advanced robotic applications requiring delicate manipulation, such as surgical robotics and automated assembly. By blending fuzzy logic’s interpretability with neural networks’ learning capability, Fanaei’s research continues to influence the development of more intelligent, autonomous robotic systems.