Mohammad Malekpour
Papers
1
Total Citations
2
H-Index
1
About
Mohammad Malekpour is a researcher in robotics and mechanical design, with a primary focus on the kinematic analysis and optimal design of parallel mechanisms. His work addresses the challenge of low-mobility parallel manipulators—systems that, unlike the fully mobile Stewart platform, maintain specific translational or rotational constraints. This specialization enables simpler mechanical structures, larger workspaces, lower costs, and higher accuracy in robotic applications. His most-cited paper, "Kinematic Analysis and Optimal Design of a New 3T1R Parallel Mechanism" (2019), introduces a novel decoupled-motion design that achieves three translations and one rotation, offering a streamlined alternative to more complex manipulators. With 2 citations, this work contributes to the growing field of task-specific robotics, where precision and efficiency are paramount. Malekpour’s research is particularly relevant for industries requiring high-accuracy positioning, such as manufacturing and medical robotics, and his designs represent a step toward more accessible, cost-effective automation solutions.
Research Focus
Key Achievements
Top Papers
- 1Kinematic Analysis and Optimal Design of a New 3T1R Parallel Mechanism2 citations · 2019