Nazar Kais AL-Karkhi

University of Baghdad

Papers

2

Total Citations

22

H-Index

2

About

Dr. Nazar Kais AL-Karkhi is a robotics researcher whose work sits at the intersection of intelligent manufacturing and soft robotic manipulation. His primary research areas include computer vision for industrial automation and adaptive grasping mechanisms. In a highly cited 2022 study (16 citations), Dr. AL-Karkhi introduced a novel image-processing approach for intelligent robotic welding, enabling automated detection of weld line edges to improve precision and production rates in modern manufacturing. More recently, his 2023 work (6 citations) presents a systematic method for achieving stable grasping using a two-finger robotic hand activated by jamming of granular media. By controlling vacuum pressure to adjust structural and contact stiffness, this approach offers a versatile solution for handling objects of varying shapes and materials—a key challenge in soft robotics. Together, these contributions demonstrate Dr. AL-Karkhi’s impact on both industrial robotics and the emerging field of granular jamming, with applications ranging from factory automation to adaptive prosthetics. His research bridges practical manufacturing needs with cutting-edge soft robotic theory.

Research Focus

Key Achievements

2
H-Index
2
Papers
22
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Robotic Welding Based on a Computer Vision Technology Approach
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Baghdad

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago