Nidal Farhat
Papers
8
Total Citations
241
H-Index
5
About
Nidal Farhat is a robotics researcher whose work spans robot dynamics, parameter identification, and rehabilitation engineering. Best known for his contributions to the dynamic modeling and identification of robotic systems, Farhat has made significant strides in both serial and parallel manipulator research. His most influential work, "Identification of dynamic parameters of a 3-DOF RPS parallel manipulator" (2007, 112 citations), established robust methodologies for characterizing complex parallel robot dynamics, while his earlier investigation into physically feasible parameter identification in industrial robots (2005, 73 citations) addressed a critical challenge in ensuring that mathematically derived parameters remain physically meaningful. Farhat's research has also tackled nuanced modeling difficulties, including the treatment of Coulomb friction and stick-slip phenomena in dynamic simulation, improving the fidelity of robotic system models for design and control applications. In more recent work, he has extended his expertise toward biomedical engineering, developing a computationally efficient musculoskeletal model of the lower limb to enable real-time control of rehabilitation robots. With over 230 cumulative citations, Farhat's career reflects a sustained commitment to advancing the accuracy, reliability, and applicability of dynamic models across diverse robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1Identification of dynamic parameters of a 3-DOF RPS parallel manipulator112 citations · 2007
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- 8Experimental Setup of a Novel 4 DoF Parallel Manipulator2 citations · 2017