Ahmadreza Shahrokhshahi
Papers
5
Total Citations
43
H-Index
4
About
Ahmadreza Shahrokhshahi’s research lies at the intersection of humanoid robotics and assistive exoskeletons, with a focus on control, adaptation, and human–robot interaction. His early work on the Surena II humanoid introduced novel ZMP trajectory control using PID and fuzzy logic to maintain stability under external disturbances, laying a foundation for robust locomotion. He later advanced humanoid stair climbing by developing an optimal pattern generation method using virtual slopes and distributed mass models. In the domain of wearable robotics, Shahrokhshahi has made significant contributions to sample-efficient policy adaptation for lower-limb exoskeletons, enabling control policies to generalize across different users and environments. His work on learning user-specific control policies via Gaussian process regression addresses critical challenges in personalizing exoskeleton assistance based on anatomical differences. With over 40 citations across his most-cited papers, his research has practical implications for rehabilitation and mobility assistance. His system identification work on robot power transmission further demonstrates his breadth in bridging theoretical control with real-world hardware implementation.
Research Focus
Key Achievements
Top Papers
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- 5System identification of a humanoid robot power transmission system3 citations · 2014