Hamed Jamshidifar

University of Waterloo

Papers

11

Total Citations

353

H-Index

9

About

Hamed Jamshidifar is a prominent robotics researcher whose work centers on cable-driven parallel robots (CDPRs), vibration control, and mechanical design optimization. His research has fundamentally advanced the modeling and control of these flexible, high-speed robotic systems, which offer distinct advantages over traditional rigid-link mechanisms in terms of workspace, inertia, and scalability. Jamshidifar's most influential contributions include developing comprehensive kinematic models for redundant CDPRs and pioneering stiffness optimization strategies to minimize undesired perturbations under external disturbances, a work that has garnered 89 citations. His equally impactful research on vibration decoupled modeling and robust control (85 citations) addressed the critical challenge of disturbance-induced vibrations in trajectory tracking applications. He further introduced the innovative Multiaxis Reaction System (MARS), enabling vibration control of previously uncontrollable modes in planar CDPRs. Beyond classical CDPRs, Jamshidifar extended his expertise to aerial cable towed robots and novel passive counterbalancing mechanisms, broadening the applicability of cable-driven systems. His work on gravity-balancing for serial robots demonstrates a versatile engineering vision aimed at enhancing dexterity without sacrificing compactness. With over 300 cumulative citations across his publications, Jamshidifar's research represents a significant and growing contribution to advanced robotics and mechatronics.

Research Focus

Key Achievements

9
H-Index
11
Papers
353
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Kinematically-Constrained Redundant Cable-Driven Parallel Robots: Modeling, Redundancy Analysis, and Stiffness Optimization
89 citations · 2016
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Waterloo

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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