Tariq Kamal

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About

Tariq Kamal is a robotics researcher whose work focuses on the development and control of bio-inspired and mobile robotic systems. His primary research areas include pneumatic artificial muscles, system identification, and neural network-based control for nonlinear robots. Kamal’s most significant contribution is a comprehensive review of McKibben pneumatic artificial muscle actuators, which has become a key reference in the field, accumulating 14 citations. This work provides a foundational understanding of how these soft actuators can be used to create safer, more adaptable robots, particularly for medical applications. In parallel, Kamal has advanced the control of two-wheeled robots (TWRs) by applying feed-forward neural networks for efficient system identification. His 2022 paper on this topic, with 5 citations, demonstrates a data-driven approach to predicting a TWR’s movement and rotation, offering a practical solution for stabilizing inherently unstable platforms. Through these contributions, Kamal is helping to bridge the gap between soft robotics and intelligent control, making his work valuable for researchers developing next-generation autonomous and assistive robots.