Maryam Tebyani
Papers
5
Total Citations
57
H-Index
4
About
Maryam Tebyani is a roboticist whose work sits at the intersection of neuromorphic control, soft robotics, and biomimetic design. Her research focuses on developing bio-inspired control architectures and flexible robotic platforms that can adapt to complex environments. In her most cited work, she proposed a spiking neural state machine for gait frequency entrainment in modular robots, demonstrating how a minimal network of just three spiking neurons can achieve robust, closed-loop locomotion control—a principle directly inspired by biological central pattern generators. This work, along with her design of FERVOR (FlexiblE and Reconfigurable Voxel-based Robot), has garnered over 50 citations and showcases her ability to bridge theoretical neuroscience with practical hardware. Tebyani also pioneered a novel multi-material 3D printing technique to fabricate an assembled biomimetic robotic finger with accurate bone geometry, ligaments, and viscoelastic tendons—eliminating assembly steps entirely. Her geometric kinematic models for flexible voxel-based robots further extend the capabilities of soft, reconfigurable systems. Through these contributions, Tebyani is advancing the frontier of robots that are not only structurally compliant but also neurally inspired in their control.
Research Focus
Key Achievements
Top Papers
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- 3Design and testing of FERVOR: FlexiblE and reconfigurable voxel-based robot14 citations · 2017
- 43D Printing an Assembled Biomimetic Robotic Finger6 citations · 2020
- 5A Geometric Kinematic Model for Flexible Voxel-Based Robots3 citations · 2022