Papers
1
Total Citations
6
H-Index
1
About
Saba Waseem is a forward-thinking researcher at the intersection of robotics and intelligent control systems. Her work centers on advancing robotic manipulator technology, with a particular focus on the transition from classical control methods to modern, AI-driven approaches. Her most-cited paper, "From classical to intelligent control: Evolving trends in robotic manipulator technology" (2025), has already garnered 6 citations, signaling early impact in a rapidly evolving field. In this work, Waseem systematically reviews and synthesizes key developments, offering a roadmap for integrating machine learning, neural networks, and adaptive algorithms into robotic manipulation. Her contributions are notable for bridging the gap between traditional engineering principles and cutting-edge artificial intelligence, making her research highly relevant for both academic and industrial applications. As a researcher, Waseem is helping to shape the next generation of autonomous, dexterous robots capable of operating in complex, unstructured environments. Her emerging body of work promises to influence how robotic systems are designed, controlled, and deployed in manufacturing, healthcare, and beyond.
Research Focus
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Top Papers
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