Pezhman Lali

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About

Pezhman Lali is a researcher whose work sits at the intersection of robotics, artificial intelligence, and nuclear engineering. His key research areas include intelligent control systems, fuzzy logic, and adaptive neuro-fuzzy inference systems (ANFIS) for teleoperation in hazardous environments. Lali’s most notable contribution is his pioneering approach to developing the control system for Telbot, a teleoperated robot designed for use in nuclear hotcells—highly radioactive environments where human access is dangerous. By integrating ANFIS, he enabled the robot to learn and adapt its movements based on operator input and environmental feedback, significantly improving precision and safety in remote handling tasks. This work, published in 2011, has garnered 9 citations, reflecting its foundational role in advancing intelligent robotic control for nuclear applications. Lali’s research demonstrates a practical fusion of soft computing and robotics, offering a scalable solution for automation in extreme conditions. His contributions are particularly valuable for students and researchers interested in human-robot interaction, adaptive control, and the deployment of AI in high-stakes industrial settings.