Papers

17

Total Citations

277

H-Index

9

About

Mostafa Taghizadeh is a prominent robotics and control systems researcher whose work spans advanced motion control, parallel robotics, and rehabilitation exoskeletons. His early contributions established a strong foundation in pneumatic and hydraulic actuator control, exemplified by his multimodel PD-control framework for pneumatic systems under variable loads, which has accumulated 48 citations. Taghizadeh has made significant strides in parallel robot design and optimization, developing kinematic analyses and geometric optimization strategies for delta and translational parallel mechanisms that have collectively garnered over 80 citations. His research on fault-tolerant and sliding mode control architectures demonstrates a sophisticated command of robust nonlinear control theory, particularly applied to delta robots and lower-limb exoskeletons. More recently, Taghizadeh has focused on human-robot interaction and rehabilitation technology, pioneering impedance control and adaptive variable impedance strategies for lower-limb exoskeletons, with his 2021 exoskeleton study earning 42 citations. His integration of bio-inspired CPG algorithms and neuro-fuzzy modeling further reflects the interdisciplinary depth of his research. With over 250 total citations across diverse robotics domains, Taghizadeh's work offers valuable insights for researchers in control engineering, rehabilitation robotics, and intelligent mechatronic systems.

Research Focus

Key Achievements

9
H-Index
17
Papers
277
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Multimodel PD-control of a pneumatic actuator under variable loads
48 citations · 2009
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Materials and Energy Research Center, Shahid Beheshti University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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