Papers
6
Total Citations
125
H-Index
5
About
Hamed Razavi investigates the intersection of control theory and biomechanics to create more intuitive and resilient bipedal robots. His research centers on human intention detection for physical human-robot interaction, particularly in collaborative walking tasks, and on developing stable, periodic gaits through symmetry and self-synchronization principles. A key contribution is his multiclass classification framework for recognizing human partners' movement intentions during cooperative object carrying, enabling safer and more responsive human-robot teams. In legged locomotion, Razavi pioneered the use of symmetry in designing stable periodic gaits and introduced time-projection control for push recovery, allowing bipedal robots like COMAN to dynamically adjust stepping strategies when disturbed. His work on self-synchronization demonstrates how 3D bipedal walking can achieve natural stability without explicit balancing, while his unified control structure spans the continuum from standing balance to walking using minimal parameter adjustments. With over 125 combined citations across his most influential papers, Razavi's contributions advance both the theoretical foundations and practical implementation of humanoid locomotion and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Self-synchronization and self-stabilization of 3D bipedal walking gaits19 citations · 2017
- 4
- 5Symmetric virtual constraints for periodic walking of legged robots9 citations · 2016
- 6