Rasool Bina
Papers
1
Total Citations
3
H-Index
1
About
Rasool Bina is a robotics researcher whose work centers on the modeling, identification, and control of parallel robotic systems. His primary research areas include stiffness identification, kinematic calibration, and the dynamic analysis of parallel robots, with a particular focus on overcoming practical measurement limitations. Bina’s most notable contribution is a novel procedure for the stiffness identification of parallel robots, introduced in his 2023 paper, which enables the extraction of reliable stiffness models from experimental data even when sensor access is restricted. This work, validated through both simulation and experimental studies on a 3-DOF Delta robot, addresses a critical gap in real-world robotic performance assessment. With his paper already garnering citations, Bina’s approach offers a practical pathway for improving the accuracy and safety of parallel manipulators in industrial applications. His research is particularly valuable for students and engineers working on robot design and control, as it provides a systematic method for parameter identification under realistic constraints. Bina’s work continues to influence the field of parallel robotics, bridging the gap between theoretical models and practical implementation.
Research Focus
Key Achievements
Top Papers
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