Navid Negahbani
Politecnico di Milano, Islamic Azad University of Khomeynishahr
Papers
2
Total Citations
15
H-Index
2
About
Navid Negahbani is a robotics researcher whose work focuses on the control and dynamics of complex mechanical systems, particularly parallel kinematic machines (PKMs) and bio-inspired robots. His most cited paper, "Error Analysis and Adaptive-Robust Control of a 6-DoF Parallel Robot with Ball-Screw Drive Actuators" (2016, 13 citations), addresses a critical challenge in precision robotics: maintaining high stiffness and accuracy in parallel robots by modeling and controlling the rigidity of ball-screw drive actuators. This contribution is significant for applications requiring exceptional precision, such as machining and assembly. Negahbani has also explored the locomotion of snake-like robots, as seen in his 2009 paper on controlling a wheel-less snake robot using the Coulomb elliptical friction model and Serpenoid curves. By applying Lagrange mechanics to derive equations of motion and incorporating realistic friction models, he advanced the understanding of undulatory locomotion. Though his citation counts are modest, his work demonstrates a thoughtful integration of adaptive control theory with practical robotic design, offering valuable insights for researchers in precision robotics and biomimetic locomotion.
Research Focus
Key Achievements
Top Papers
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