Mahmood Mazare
Papers
8
Total Citations
148
H-Index
5
About
Mahmood Mazare is a robotics and control systems researcher whose work spans parallel robot mechanisms, exoskeleton systems, and advanced nonlinear control strategies. His research has made notable contributions to both the kinematic-dynamic analysis of parallel robots and the development of sophisticated control algorithms capable of handling system uncertainties and disturbances. Mazare's foundational work on the 3-DOF translational parallel robot — encompassing kinematic analysis, inverse dynamics, and geometric optimization — established a rigorous framework for improving positioning accuracy and workspace performance, garnering nearly 50 combined citations. His fault-tolerant control research on delta parallel robots, drawing 37 citations, demonstrated the practical application of adaptive super-twisting sliding mode techniques for robust operation under failure conditions. Perhaps his most impactful contribution lies in rehabilitation robotics: his impedance control framework for a 7-DOF lower limb exoskeleton, employing optimal adaptive high-order super-twisting sliding mode methods, has accumulated 42 citations since 2021, reflecting strong community interest in assistive device control. His broader portfolio also addresses soft robot manipulators, further showcasing his versatility across emerging robotic platforms. Collectively, Mazare's work bridges rigorous mechanical design with cutting-edge intelligent control, making him a valuable contributor to modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Kinematic analysis and design of a 3-DOF translational parallel robot37 citations · 2017
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- 5Inverse Dynamics of a 3-P[2(US)] Translational Parallel Robot10 citations · 2018
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