Soroush Maleki
Papers
3
Total Citations
13
H-Index
2
About
Soroush Maleki’s research lies at the intersection of legged robotics, energy-efficient locomotion, and advanced actuator control. His work addresses fundamental challenges in making robots more autonomous and stable, particularly through the design and control of quadruped robots with active spines. His most cited paper, “Modeling, control and gait design of a quadruped robot with active spine towards energy efficiency” (2015, 9 citations), tackles the notoriously difficult task of modeling high-degree-of-freedom systems and tuning gaits for optimal energy use—a critical step toward practical, field-ready robots. Maleki also made notable contributions to actuator control, proposing methods that simplify output torque using parallel springs and improve feed-forward learning for series elastic actuators. His 2016 work on adaptive feed-forward learning with frequency adaptation offers a novel path to perfect tracking in periodic motions, reducing the need for high-gain feedback that can destabilize legged systems. Though his citation counts are modest, Maleki’s focus on practical, stability-preserving control strategies—especially in situations where traditional feedback fails—positions him as a thoughtful contributor to the growing field of bio-inspired, energy-aware robotics.
Research Focus
Key Achievements
Top Papers
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