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About

M. Badrikouhi is a robotics researcher whose work centers on the design, modeling, and control of parallel robotic systems, with a particular focus on cable-driven parallel robots (CDPRs). His major contributions lie in advancing trajectory planning and performance optimization for these complex mechanisms, which are challenging due to the unidirectional nature of cables. Badrikouhi has developed novel approaches to address these challenges, including the use of direct collocation methods for smooth trajectory planning and the introduction of a kinodynamic dexterity index for kinematic parameter optimization. His most cited work, “Design, modelling, implementation, and trajectory planning of a 3-DOF cable driven parallel robot” (2023), has garnered 18 citations and demonstrates his ability to move from theory to practical implementation. Additionally, his research on novel manipulability indices for parallel mechanisms with prismatic-revolute actuators (2021, 8 citations) has provided new tools for analyzing robot performance. With a growing body of work that bridges optimization, dynamics, and control, Badrikouhi is contributing to the development of more capable and efficient parallel robotic systems for applications requiring high precision and adaptability.