Mohammad-Ali Nikouei Mahani
Papers
2
Total Citations
6
H-Index
2
About
Mohammad-Ali Nikouei Mahani is a robotics researcher whose work focuses on one of the most critical challenges in humanoid robotics: balance and push recovery. His research addresses the fundamental problem of how humanoid robots can maintain stability and recover from external disturbances in real-world environments. In his most cited work, "Novel humanoid push recovery using knee joint" (2011, 4 citations), Mahani introduced innovative strategies that leverage knee joint articulation to help humanoid robots regain balance after being pushed. He further advanced this line of inquiry in "A novel approach for humanoid push recovery using stereopsis" (2013, 2 citations), where he incorporated stereoscopic vision to enhance a robot's ability to perceive and respond to disturbances. While his citation counts are modest, Mahani's contributions are notable for tackling a core problem in humanoid locomotion—a field where even incremental advances have significant implications for creating robots capable of operating safely alongside humans. His work on integrating biomechanically-inspired joint strategies with visual feedback represents a thoughtful approach to making humanoid robots more resilient and practical for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Novel humanoid push recovery using knee joint4 citations · 2011
- 2A novel approach for humanoid push recovery using stereopsis2 citations · 2013