Kourosh Kiani

Semnan University, Amirkabir University of Technology

Papers

Total Citations

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About

Kourosh Kiani is a leading researcher in robotics and computational intelligence, with a focus on developing bio-inspired optimization algorithms for autonomous systems. His work centers on solving critical challenges in mobile robot navigation and manipulator control, where he has introduced innovative approaches that blend evolutionary computation with fuzzy logic. Kiani’s most influential contribution is the Random Particle Optimization Algorithm (RPOA), inspired by bacterial foraging behavior, which enables mobile robots to dynamically plan paths in unknown and changing environments—a paper that has garnered 28 citations for its practical impact on real-time robotics. He has also advanced the field of inverse kinematics, applying Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to solve complex joint configurations for industrial robots like the PUMA 560, achieving 28 citations for overcoming the limitations of traditional geometric and algebraic methods. Additionally, Kiani has pioneered the use of bacterial foraging optimization to automatically design fuzzy controllers for robot manipulators, eliminating the need for tedious trial-and-error tuning. With over 68 combined citations across his top works, his research continues to influence both academic theory and practical robotics applications, particularly in adaptive control and autonomous navigation.