Nasrollah Khodadadi
Papers
1
Total Citations
7
H-Index
1
About
Nasrollah Khodadadi is a researcher specializing in the design and optimization of cable-driven parallel robots, with a particular focus on enhancing their mechanical performance through multi-objective strategies. His most cited work, "Multi Objective Optimization of a Cable-Driven Robot with Parallelogram Links" (2021, 7 citations), introduces a novel framework that balances competing design criteria—such as workspace volume, stiffness, and cable tension—by integrating parallelogram linkages. This contribution addresses critical challenges in cable-driven robotics, where traditional designs often suffer from limited payload capacity or complex control requirements. By systematically optimizing geometric and kinematic parameters, Khodadadi’s approach improves both the structural integrity and operational efficiency of these robots, making them more viable for applications in manufacturing, rehabilitation, and heavy-lift tasks. His work has been recognized for its practical relevance, offering a scalable methodology that bridges theoretical optimization with real-world robotic systems. With a growing citation impact, Khodadadi continues to advance the field of parallel robotics, providing researchers and engineers with robust tools for designing high-performance, cable-driven mechanisms.
Research Focus
Key Achievements
Top Papers
- 1