Abu Salman Shaikat
Papers
3
Total Citations
43
H-Index
3
About
Abu Salman Shaikat is a researcher advancing automation and robotics for industrial applications, with a focus on computer vision and intelligent systems. His most cited work, "Computer Vision Based Industrial Robotic Arm for Sorting Objects by Color and Height" (2020, 23 citations), tackles the inefficiencies of manual sorting in manufacturing by integrating vision-guided robotics to automate object classification—a contribution that has drawn attention for its practical relevance to Industry 4.0. Shaikat further explores warehouse automation in "Implementation of Pick & Place Robotic Arm for Warehouse Products Management" (2021, 14 citations), demonstrating how robotic manipulators combined with IoT and AI can streamline logistics. His work on "Design and Development of a Pipeline Inspection Robot for Visual Inspection and Fault Detection" (2021, 6 citations) extends his expertise to infrastructure maintenance, showcasing a versatile approach to solving real-world challenges. With a cumulative citation count exceeding 40, Shaikat’s research underscores the transformative potential of robotics in reducing human labor and enhancing precision across manufacturing, warehousing, and inspection domains. His contributions are particularly valuable for students and engineers seeking to understand the integration of vision, control, and automation in practical systems.
Research Focus
Key Achievements
Top Papers
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