Papers

47

Total Citations

542

H-Index

13

About

Aghil Yousefi-Koma is a prominent robotics researcher whose work spans humanoid locomotion, smart actuator systems, and bio-inspired robotics. Based at the University of Tehran's Advanced Dynamic and Control Systems Laboratory (ADCSL), he has made significant contributions to the field of legged robotics, particularly through his development of advanced control frameworks for humanoid robots. His most influential work focuses on bipedal walking and balance control, where he has pioneered the application of Model Predictive Control (MPC) combined with concepts such as the Divergent Component of Motion and Capture Point for robust push recovery and locomotion planning — research that has garnered nearly 90 combined citations. His contributions to the SURENA humanoid robot series, including gait optimization for slippery surfaces, online path planning, and energy-efficient trajectory generation, have established him as a leading figure in humanoid robotics development. Beyond legged systems, Yousefi-Koma has demonstrated remarkable breadth through his work on Shape Memory Alloy (SMA) actuators, biomimetic robotic fish, morphing wing mechanisms, and rehabilitation exoskeletons. This diversity reflects a career defined by translating biological principles into functional robotic systems, with a cumulative citation impact exceeding 300 across his most recognized publications.

Research Focus

Key Achievements

13
H-Index
47
Papers
542
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Robust bipedal locomotion control based on model predictive control and divergent component of motion
55 citations · 2017
📈 Most Prolific Year: 2016 (10 Papers)
🤝 Key Collaborators: 72
🏛 Institutions: University of Tehran, Carleton University, University of British Columbia, Tarbiat Modares University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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