Papers
38
Total Citations
492
H-Index
12
About
Mahdi Bamdad is a prominent robotics researcher whose work spans cable-suspended parallel manipulators, flexible robotic systems, rehabilitation robotics, and bio-signal processing. Over more than fifteen years of sustained scholarly output, he has made foundational contributions to understanding how robotic systems can be designed, analyzed, and optimized for real-world performance demands. Bamdad's earliest and most enduring contributions lie in cable-suspended robotics, where his analyses of dynamic load-carrying capacity, workspace geometry, and elastic cable mechanics established critical theoretical frameworks for the field. His 2009 and 2010 papers on dynamic load-carrying capacity have collectively garnered over 100 citations, reflecting their lasting influence on parallel manipulator design. His development of ICASBOT, a six-degree-of-freedom cable-suspended robot, demonstrated his ability to translate theory into functioning hardware. More recently, Bamdad has expanded into soft robotics and human-machine interaction. His 2019 kinematic analysis of granular-jamming continuum robots and his 2022 framework for estimating muscle forces from EMG signals—supporting a knee rehabilitation robot he designed and built—highlight his versatility and commitment to clinical relevance. With nearly 320 total citations across his body of work, Bamdad's research consistently bridges rigorous mechanical theory with practical, human-centered applications.
Research Focus
Key Achievements
Top Papers
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- 3Dynamic load-carrying capacity of cable-suspended parallel manipulators50 citations · 2009
- 4Workspace analysis of cable-suspended robots with elastic cable30 citations · 2007
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- 7Development of ICASBOT: A Cable-Suspended Robot’s with Six DOF21 citations · 2012
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- 10Analytical dynamic solution of a flexible cable-suspended manipulator15 citations · 2013