Mohammad Sheikh Sofla
University of Tehran, University of Lincoln, University of Nebraska–Lincoln
Papers
6
Total Citations
67
H-Index
5
About
Mohammad Sheikh Sofla’s research lies at the intersection of soft robotics, continuum manipulators, and bio-inspired actuation, with a focus on creating compliant, high-performance systems for delicate and dynamic environments. His major contributions include the design and dynamic modeling of a continuum manipulator with a large workspace, where he pioneered the use of fluidic muscles and inertial sensor fusion for precise shape estimation and control. His work on pneumatic muscle actuators (PMAs) introduced a modified Bouc–Wen hysteresis model, significantly improving fidelity in biorobotic applications like orthoses and exoskeletons. Sofla’s impact is evidenced by his most-cited papers, including “Design and dynamic modeling of a continuum and compliant manipulator with large workspace” (19 citations) and “Precise dynamic modeling of pneumatic muscle actuators” (17 citations), which have shaped research in soft actuation. Notably, his recent innovations include a Soft Acoustic Curvature sensor, leveraging acoustic waves for flexible sensing, and a soft haptic whisker for stiffness estimation of delicate objects. These achievements underscore his role in advancing safe, adaptive robotic systems for medical and industrial applications.
Research Focus
Key Achievements
Top Papers
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- 5Soft Acoustic Curvature Sensor: Design and Development5 citations · 2024
- 6Stiffness estimation of delicate objects using a soft haptic whisker1 citations · 2025