Mohammad Arif
Papers
1
Total Citations
6
H-Index
1
About
Mohammad Arif is a robotics researcher specializing in the kinematics and design of parallel manipulators. His work centers on solving fundamental challenges in robotic mechanisms, particularly workspace analysis and singularity avoidance. His most-cited paper, "Workspace and Singularity Analysis of Five Bar Planar Parallel Manipulator" (2018, 6 citations), introduces an inverse kinematic approach to overcome the limitations of traditional methods for parallel manipulators. By simplifying complex kinematic analyses, Arif provides practical tools for designing more efficient and reliable robotic systems. His contributions are valuable for advancing automation in manufacturing and precision tasks. Though early in his career, his focused research on planar parallel mechanisms has already garnered attention, laying a strong foundation for future innovations in robotic design and control.
Research Focus
Key Achievements
Top Papers
- 1