Sara Rahmati Kookandeh
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Total Citations
1
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About
Sara Rahmati Kookandeh is a robotics researcher whose work centers on advancing humanoid robot control and teleoperation, with a particular focus on solving the complex inverse kinematics problems that enable robots to replicate human movements. Her key research areas include human motion imitation, artificial neural networks, and adaptive neuro-fuzzy inference systems for robotic applications. In her most notable work, "Enhancing Human Motion Imitation in Humanoid Robots: A Comparative Study of ANN, ANFIS, and GA-Optimized ANFIS for Inverse Kinematics of the Surena-V Humanoid's Arm," she systematically compared different computational approaches to determine optimal joint angles for robotic arms. This study, published in 2024, addresses a critical challenge in teleoperation for humanoid robots used in automation, healthcare, and hazardous environments. By evaluating and optimizing machine learning techniques, including genetic algorithm-enhanced ANFIS, her research contributes to making humanoid robots more capable of performing complex, human-like tasks with greater precision. Her work represents an important step toward more intuitive and effective human-robot interaction in real-world applications.
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Top Papers
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