Papers
3
Total Citations
13
H-Index
3
About
Nicolae Paraschiv is a researcher specializing in haptic-robotic systems, surgical training technologies, and intelligent control for nonlinear dynamic systems. His work bridges mechanical design, real-time control, and human-machine interaction, with a particular focus on minimally invasive surgery training. Paraschiv’s most cited paper (2018, 6 citations) introduces a dynamic compensation and decoupled linearization model for a 6-DOF parallel haptic device, enabling precise closed-loop teleoperation in surgical simulators. He further advanced force tracking performance in a 2017 study (3 citations) by integrating dynamic compensation with fuzzy logic control to improve transparency and stability in master-slave configurations. Earlier, in 2011 (4 citations), he systematically compared PID and fuzzy controllers for mobile robots, highlighting fuzzy logic’s advantages in handling system nonlinearities and uncertainties. Across these contributions, Paraschiv demonstrates a consistent focus on enhancing control fidelity and operator experience in robotic systems. His work is foundational for developers of surgical training platforms and teleoperation interfaces, offering practical frameworks for force control and system linearization that remain relevant in contemporary haptics research.
Research Focus
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