Mahdi Najmabadi

Papers

1

Total Citations

2

H-Index

1

About

Mahdi Najmabadi is a robotics researcher whose work centers on kinematic modeling and control of articulated robotic systems, with a particular focus on industrial manipulators. His most notable contribution is the development of an explicit inverse kinematic solution for the FUM 6R-20, a six-axis industrial robot arm designed at the Ferdowsi University of Mashhad Robotics Lab. In his 2017 paper, Najmabadi applied the dual quaternion approach to derive a closed-form, computationally efficient solution for the arm’s inverse kinematics—a critical challenge in robotics that directly impacts real-time control and path planning. This work provides a mathematically elegant alternative to traditional methods, enabling more precise and stable motion for industrial-grade manipulators. While his citation count remains modest, his research holds practical significance for the robotics community, particularly in advancing the capabilities of locally designed robotic platforms. Najmabadi’s contributions reflect a deep engagement with both theoretical kinematics and applied robotics, positioning him as a researcher dedicated to bridging mathematical innovation with real-world industrial automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Explicit Inverse Kinematic Solution for the Industrial FUM Articulated Arm using Dual Quaternion Approach
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago