SA Khalilpour

K.N.Toosi University of Technology

Papers

1

Total Citations

4

H-Index

1

About

S.A. Khalilpour is a robotics researcher specializing in the control and regulation of parallel and cable-driven robotic systems. Their major contributions lie in developing practical, adaptive control strategies that address real-world challenges such as bounded inputs, unmodeled dynamics, and external disturbances. A key work, "Practical adaptive position feedback regulator for parallel robots with bounded inputs" (2022), introduces a proportional derivative plus desired gravity compensator (PD-DGC) controller to tackle regulation problems in parallel robots, particularly those caused by inaccurate measurements and vibrations in cable-driven systems. This paper has garnered 4 citations, reflecting its relevance to the field. Khalilpour’s research is notable for bridging theoretical control methods with practical implementation, enhancing the robustness and reliability of robotic systems in uncertain environments. Their work is valuable for students and researchers interested in adaptive control, robot dynamics, and the development of safer, more efficient robotic manipulators for industrial and service applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Practical adaptive position feedback regulator for parallel robots with bounded inputs
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: K.N.Toosi University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago