Adnan Shujah
Papers
4
Total Citations
14
H-Index
2
About
Adnan Shujah is a robotics researcher whose work spans wall-climbing robots, visual servoing, micro-robotics, and parallel kinematic machines. His most cited paper, "Design and Implementation of Semi-Autonomous Wall Climbing Robot Using Vacuum Suction Adhesion" (2019, 9 citations), introduces a wirelessly operated robot capable of scaling vertical surfaces and ceilings using a centrifugal pump for continuous suction—a design aimed at improving efficiency and safety in hazardous environments. Shujah also contributed to "Object tracking with a robotic manipulator mounted on ground vehicle using Image Based Visual Servoing" (2017, 2 citations), applying IBVS for real-time detection and tracking with a 2 DOF manipulator. In "An Optimized Magnetic Micro-Robotic System for Two-Dimensional Manipulation" (2021, 2 citations), he explored microrobotic actuation for applications from biological manipulation to targeted drug delivery. His recent work, "A Novel Approach for Multi-Criteria Workspace Optimization of Parallel Kinematic Machines" (2023, 1 citation), addresses accuracy limitations in serial robots by optimizing PKM designs. With a cumulative 14 citations, Shujah demonstrates a commitment to advancing robotic autonomy, precision, and safety across macro and micro scales.
Research Focus
Key Achievements
Top Papers
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