Adel Fakih
Papers
1
Total Citations
17
H-Index
1
About
Adel Fakih is a leading researcher in humanoid robotics and assistive technologies, with a primary focus on ensuring safe and stable locomotion in humanoid robots. His work addresses a critical challenge: enabling robots to recover from unexpected disturbances and avoid falls, a prerequisite for their real-world deployment as assistive devices. His most cited paper, "Humanoid Fall Avoidance Using a Mixture of Strategies" (2012, 17 citations), is a foundational contribution that draws inspiration from human reflexes. In this work, Fakih demonstrates how robots can dynamically select and combine strategies—such as ankle and hip bending, or stepping—to maintain balance when pushed. This biomimetic approach has influenced subsequent research in fall prevention and reactive control. By translating human motor responses into robotic algorithms, Fakih’s work bridges biomechanics and robotics, offering practical pathways toward safer human-robot interaction. His research remains highly relevant for students and engineers developing robots for elderly care, rehabilitation, or hazardous environments, where fall avoidance is essential for both robot integrity and human safety.
Research Focus
Key Achievements
Top Papers
- 1HUMANOID FALL AVOIDANCE USING A MIXTURE OF STRATEGIES17 citations · 2012