Alireza Gholipour

Amirkabir University of Technology

Papers

1

Total Citations

4

H-Index

1

About

Alireza Gholipour is a researcher specializing in the control and dynamics of robotic systems, with a particular focus on cable-driven parallel robots (CDPRs). His work addresses the critical challenge of achieving precise, robust motion control in these flexible yet complex mechanisms, which are increasingly used in applications ranging from large-scale manipulation to rehabilitation. Gholipour’s most notable contribution is the development of an enhanced constrained optimal sliding mode control framework for CDPRs, as detailed in his 2025 paper, which has already garnered 4 citations. This approach integrates sliding mode control with optimization constraints to improve trajectory tracking and disturbance rejection, offering a practical solution for real-time control in uncertain environments. His research bridges theoretical control design and practical implementation, advancing the reliability of cable-driven systems. With a growing citation footprint, Gholipour’s work is gaining recognition for its potential to enhance the performance of next-generation robots in industrial and medical settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Enhanced constrained optimal sliding mode control for cable-driven parallel robots
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Amirkabir University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago