Papers
6
Total Citations
126
H-Index
5
About
Imran Mohsin is a leading researcher in advanced manufacturing robotics, with a primary focus on automating surface finishing processes. His work addresses a critical industrial challenge: replacing hazardous, error-prone manual polishing with intelligent robotic systems. Mohsin’s core contributions lie in developing force-controlled end effectors and sophisticated path-planning algorithms for polishing complex, free-form surfaces. His most-cited paper (45 citations) optimizes robotic polishing efficiency using the Taguchi method and ANOVA, demonstrating a systematic approach to reducing surface roughness while controlling torque. Another highly influential work (39 citations) tackles path planning under force control for complex curved surfaces, a key hurdle in automating high-precision tasks. His research extends beyond polishing to include high-pressure water jet coating removal for ship hulls, using wall-climbing robots to improve safety and efficiency. By integrating multi-step path planning with real-time force control, Mohsin has significantly advanced the reliability and quality of automated finishing. His work has direct applications in industries ranging from automotive to shipbuilding, where his methods reduce costs, eliminate worker exposure to respiratory hazards, and improve consistency. With a growing citation record, Mohsin is establishing himself as a key innovator in intelligent manufacturing and surface engineering.
Research Focus
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