A.R. Tavakolpour-Saleh
Papers
5
Total Citations
94
H-Index
4
About
A.R. Tavakolpour-Saleh is a leading researcher in robotics and control systems, specializing in optimal and robust control strategies for complex mechatronic systems. His work focuses on integrating advanced computational intelligence—such as genetic algorithms, ant colony optimization, and particle swarm optimization—with nonlinear control methods to enhance the performance of robotic platforms. Tavakolpour-Saleh’s major contributions include the development of a genetic algorithm-based optimal computed torque control for a vision-based tracker robot, which achieved 42 citations, and an optimal nonlinear PID control for a micro-robot with vibratory actuators, cited 34 times. He has also advanced theoretical frameworks, notably in robust control for port-controlled Hamiltonian systems, addressing matched and unmatched uncertainties in underactuated mechanical systems. His recent work explores optimal fuzzy control for two-wheel mobile robots stabilized by control moment gyroscopes. With over 90 total citations, Tavakolpour-Saleh’s research bridges simulation and experimental validation, offering practical solutions for autonomous robotics, flexible joint systems, and precision tracking. His achievements underscore a commitment to pushing the boundaries of intelligent control in real-world applications.
Research Focus
Key Achievements
Top Papers
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