Seyed Mohammad Yasoubi
Papers
1
Total Citations
3
H-Index
1
About
Seyed Mohammad Yasoubi is a researcher focused on the intersection of robotics, biomechanics, and neural control, with a particular emphasis on lower-limb exoskeletons and locomotion. His key research area involves developing Central Pattern Generator (CPG) models—biologically inspired neural circuits that produce rhythmic movements—to enable more natural and adaptive control of robotic prosthetics and exoskeletons. His most cited work, "Production of CPG pathways for lower limbs with the ability to change routes online" (2020), introduces a novel method for generating gait patterns that can be adjusted in real time, allowing exoskeleton users to change walking paths without pre-programmed sequences. Drawing from established biomechanical formulas, Yasoubi’s approach enhances the fluidity and responsiveness of assistive devices, a critical step toward seamless human-robot interaction. While his citation count is still growing, his contributions are notable for bridging computational neuroscience and practical rehabilitation engineering. This work holds promise for improving mobility in individuals with lower-limb impairments, positioning Yasoubi as an emerging voice in adaptive robotic control and neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1