Atoosa Parsa
University of Tehran, Tufts University, University of Vermont
Papers
6
Total Citations
44
H-Index
3
About
Atoosa Parsa is a pioneering researcher at the intersection of robotics, energy efficiency, and adaptive materials. Her work fundamentally rethinks how robots move and morph, focusing on two core areas: leveraging natural dynamics for energy-efficient locomotion and programming shape-shifting materials. In her highly cited 2014 paper (24 citations), she introduced a data-driven method for designing parallel compliance in robots, a technique that reduces negative work by allowing springs to share the load, dramatically improving energy efficiency. This work laid the foundation for her subsequent research on quadruped robots with active spines (9 citations), where she tackled the challenge of modeling high-DOF systems to design gaits that minimize energy consumption. More recently, Parsa has ventured into soft robotics and metamaterials. Her 2025 paper (4 citations) on reconfigurable granular metamaterials uses evolutionary algorithms to optimize force chains by softening particles via Joule heating, enabling adaptive structures. She has also advanced shape-changing sheets, evolving fiber constraints (2021, 3 citations) and variable stiffness patterns (2023) to program complex morphing in thin sheets. With a growing citation impact and a knack for merging control theory with material science, Parsa is shaping a future where robots are not only more efficient but also physically adaptable.
Research Focus
Key Achievements
Top Papers
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- 4Shape Matching: Evolving Fiber Constraints on a Pneumatic Bilayer3 citations · 2021
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