Papers
12
Total Citations
373
H-Index
10
About
Ghasem Abbasnejad is a prominent robotics researcher whose work centers on cable-driven parallel robots (CDRs), with particular expertise in geometrico-static analysis, workspace characterization, and rehabilitation robotics. His most influential contribution — a 2015 paper on the direct geometrico-static problem of underconstrained cable-driven parallel robots (87 citations) — tackled the notoriously difficult challenge of identifying equilibrium poses when cable lengths are specified, establishing foundational theory for this class of robots. This work builds on a productive trilogy of 2012 papers exploring both direct and inverse geometrico-static analysis of four-cable systems, collectively accumulating over 100 citations and cementing his early reputation in the field. Abbasnejad has made significant strides in workspace analysis, developing a generalized ray-based lattice approach for wrench-closure workspace generation (45 citations), and advancing optimal kinematic design methodologies for planar CDRs (65 citations). His research extends beyond theoretical robotics into applied domains, including gait rehabilitation systems and the novel "flex-and-flip" manipulation technique for deformable linear objects, demonstrating impressive versatility. His 2020 work on reconfigurable CDRs reflects a continued push toward adaptive, practically deployable robotic systems. With hundreds of citations across diverse robotics subfields, Abbasnejad represents a rigorous and inventive voice in modern cable robotics research.
Research Focus
Key Achievements
Top Papers
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- 7Dynamic Flex-and-Flip Manipulation of Deformable Linear Objects24 citations · 2019
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- 9Control of cable-driven parallel robot for gait rehabilitation15 citations · 2015
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