Mortada A. Jabbar

University of Technology - Iraq

Papers

3

Total Citations

27

H-Index

3

About

Mortada A. Jabbar is a mechanical and robotics engineer whose research focuses on the design, control, and optimization of underactuated robotic finger mechanisms — a critical area in advancing dexterous prosthetic and industrial robotic systems. His work has made notable contributions to understanding how robotic fingers can replicate complex human hand motions such as grasping and pinching using simplified actuation strategies. Jabbar's most influential contributions include the development of PID control systems for underactuated robotic fingers capable of precisely gripping cylindrical objects across varying diameters, earning 12 citations, and a multi-objective optimization algorithm that introduced new kinematic and kinetic equations for three-phalanx linkage finger mechanisms, also garnering 12 citations. His 2018 study employing the gradient descent method to identify optimum geometric parameters for four-bar linkage finger designs further demonstrates his commitment to rigorous analytical and experimental approaches. Across his body of work, Jabbar combines numerical modeling with physical experimentation, bridging theoretical mechanics and real-world robotic applications. With a cumulative citation count of 27, his research offers valuable insights for students and engineers working in bio-inspired robotics, prosthetics design, and intelligent control systems — fields increasingly important in modern rehabilitation engineering and human-robot interaction.

Research Focus

Key Achievements

3
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
An experimental study for grasping and pinching controls for an underactuated robotic finger using a PID controller
12 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Technology - Iraq

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago