Elmira Amrollah
Papers
2
Total Citations
27
H-Index
2
About
Elmira Amrollah’s research lies at the intersection of bio-inspired robotics and advanced actuation systems, with a focus on improving locomotion and performance in autonomous machines. Her most cited work, “On the Role of Sensory Feedbacks in Rowat–Selverston CPG to Improve Robot Legged Locomotion” (2010, 24 citations), introduces a central pattern generator (CPG) model that integrates afferent sensory signals—both exteroceptive and proprioceptive—to achieve dynamic phase synchronization in legged robots. This sensori-motor neural architecture offers a biologically plausible framework for more adaptive and stable robotic gait. In her more recent work, “Performance enhancement of an integrated electro-hydraulic actuator using dynamic modeling and optimization” (2022, 3 citations), Amrollah addresses the challenge of compact, self-contained hydraulic actuation for robotics. By modeling and optimizing an integrated electro-hydraulic actuator (IEHA), she contributes to making hydraulic systems more efficient and autonomous—key for applications requiring high power density. Her work bridges neural control theory and practical actuation design, offering valuable insights for students and researchers in robotics, biomechanics, and control systems.
Research Focus
Key Achievements
Top Papers
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