Mohammad Hassan Ghasemi
Papers
2
Total Citations
30
H-Index
2
About
Mohammad Hassan Ghasemi is a researcher in the field of robotics and dynamical systems, with a primary focus on passive dynamic walking and bipedal locomotion. His work centers on understanding and controlling the natural, energy-efficient gaits of passive walkers—robots that can walk down a slight slope without active actuation. Ghasemi’s major contributions include developing numerical methods to solve the challenging problem of finding stable, period-one gait cycles in these systems. His 2014 paper, which has garnered 19 citations, introduced a finite difference method for this purpose, while his 2015 work (11 citations) addressed the critical issue of determining proper initial conditions for stable walking, given the small basin of attraction of passive limit cycles. By tackling the boundary value problem inherent in passive gait analysis, Ghasemi has provided tools that help researchers and engineers design more robust and efficient walking robots. His research bridges theoretical mechanics and practical robotics, offering insights that advance the development of energy-saving locomotion systems.
Research Focus
Key Achievements
Top Papers
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