About

Sergey Drakunov is a pioneering control theorist whose research spans sliding mode control, robotics, and distributed parameter systems. He is perhaps best known for introducing the **Capture Point** concept for humanoid push recovery, a landmark contribution with over 1,098 citations that provides a principled framework for determining when and where a bipedal robot must step to avoid falling after a large push. Drakunov has also made foundational contributions to **sliding mode control** for robotic path planning, developing electrostatic potential field methods that enable obstacle avoidance without local minima (49+ citations). His work extends to **distributed parameter systems**, where he applied sliding mode techniques to control the heat equation for arc welding applications (31 citations). More recently, Drakunov has advanced the field of **soft robotics**, developing parametric PH curve models and reduced-order control strategies for mobile soft continuum manipulators operating in unstructured environments. His research is characterized by elegant mathematical formulations that bridge theoretical control theory with practical robotic applications, from bipedal locomotion to temperature field regulation in manufacturing processes.

Research Focus

Key Achievements

8
H-Index
14
Papers
1,312
Total Citations
94
Avg Citations/Paper
🏆 Most Cited Paper
Capture Point: A Step toward Humanoid Push Recovery
1,098 citations · 2006
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Florida Institute for Human and Machine Cognition, V. A. Trapeznikov Institute of Control Sciences, Tulane University, Embry–Riddle Aeronautical University, Université de Lille

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago