Papers

49

Total Citations

1,160

H-Index

15

About

Mohammad A. Khosravi is a prominent robotics and control systems researcher whose work has fundamentally advanced the understanding and design of cable-driven parallel robots (CDPRs). His research primarily focuses on dynamic modeling, robust control, and adaptive control strategies for fully-constrained cable-driven parallel manipulators — a class of robots with significant applications in industrial automation, rehabilitation, and large-scale manipulation tasks. Khosravi's most influential contributions center on addressing the complex challenges posed by cable elasticity and system uncertainties. His 2014 trio of papers on robust PID control, singular perturbation-based dynamic modeling, and adaptive robust control — collectively amassing over 530 citations — established foundational frameworks for handling elastic cable dynamics and model uncertainties with mathematical rigor. His singular perturbation approach, which treats longitudinal cable vibrations as dominant dynamics, provided an elegant and practical pathway for controller design that the field has widely adopted. Beyond modeling and control, Khosravi has contributed to workspace optimization and tension distribution schemes, ensuring safe and efficient robot operation. His experimental validations on planar cable robots further bridge the gap between theory and practice. With a cumulative citation count exceeding 800, his body of work remains essential reading for researchers entering the growing field of cable-driven robotics.

Research Focus

Key Achievements

15
H-Index
49
Papers
1,160
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Robust PID control of fully-constrained cable driven parallel robots
232 citations · 2014
📈 Most Prolific Year: 2014 (9 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: K.N.Toosi University of Technology, Amirkabir University of Technology, Wright State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago