Papers
1
Total Citations
7
H-Index
1
About
Marwan Johra is a researcher whose work lies at the intersection of robotics, manufacturing, and precision control. His primary research areas include industrial manipulator control, elasto-geometrical modeling, and advanced manufacturing processes such as incremental sheet forming. Johra’s major contribution is the development of a novel control strategy that integrates force feedback with an elasto-geometrical model to significantly enhance the positioning accuracy of serial industrial robots. This approach addresses a critical challenge in automated manufacturing—elastic deformations that compromise precision—by enabling real-time, force-based corrections of the tool center point. His most-cited paper, “Elasto-Geometrical Model-Based Control of Industrial Manipulators Using Force Feedback: Application to Incremental Sheet Forming” (2022), has garnered 7 citations, reflecting its growing influence in the field of robotic manufacturing. This work not only demonstrates a practical solution for high-accuracy forming processes but also lays the groundwork for more adaptive and reliable industrial automation. Johra’s research is particularly notable for bridging theoretical modeling with real-world application, offering tangible improvements in manufacturing efficiency and part quality. His contributions are valuable for students and researchers interested in robotics, control systems, and the future of flexible manufacturing.
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