Behnam Miripour Fard
Papers
10
Total Citations
47
H-Index
5
About
Behnam Miripour Fard is a robotics and control systems researcher whose work centers on biped locomotion, humanoid robot control, and rehabilitation robotics. His research has made meaningful contributions to the challenge of stable, adaptive walking in robotic systems, with particular focus on both sagittal and lateral plane dynamics — an area relatively underexplored compared to mainstream biped studies. His 2012 paper on Pareto-optimized sliding-mode control using particle swarm optimization stands as his most cited work, reflecting his innovative integration of evolutionary optimization with robust control strategies. Fard has also advanced model predictive control frameworks for real-time trajectory planning under external disturbances, addressing the critical safety challenge of humanoid fall prevention. His research extends into rehabilitation engineering, including assistive elbow robots guided by human musculoskeletal modeling, and mechanical design innovations such as a symmetric cable-pulley gravity compensation mechanism for robotic manipulators. More recently, his work on foot placement planning using the A* algorithm and kinematic manipulability demonstrates an ongoing commitment to natural, efficient biped motion. With a cumulative citation record spanning foundational to contemporary robotics problems, Fard represents a steady and versatile voice in intelligent robotic systems research.
Research Focus
Key Achievements
Top Papers
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- 3Optimal tracking control of a biped robot walking in the lateral plane6 citations · 2011
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- 7On the manipulability of swing foot and stability of human locomotion4 citations · 2019
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