Miftah Addeif
Papers
1
Total Citations
8
H-Index
1
About
Miftah Addeif is a robotics researcher whose work centers on the optimization and design of industrial robotic manipulators, with a particular focus on energy efficiency and practical automation. His most cited paper, "SCARA ROBOT LINKS LENGTH OPTIMIZATION BY USING MATLAB AND VERIFICATION WITH SIMMECHANICS AND SOLIDWORKS" (2020, 8 citations), presents a systematic approach to minimizing energy consumption in a customized Selective Compliant Assembly Robot Arm (SCARA). By testing and simulating nine distinct link length combinations, Addeif demonstrated how kinematic parameters can be fine-tuned for specific tasks—in this case, a packing operation. This research is notable for its multi-software validation pipeline, combining MATLAB for optimization with SimMechanics and SolidWorks for simulation, bridging theoretical design and real-world verification. While his citation count reflects a focused, emerging body of work, Addeif’s contribution lies in providing a replicable methodology for engineers seeking to reduce energy costs in automated systems. His project-based approach, grounded in a concrete industrial application, offers valuable insights for students and researchers interested in the intersection of robotics, kinematics, and sustainable manufacturing.
Research Focus
Key Achievements
Top Papers
- 1