Papers

14

Total Citations

99

H-Index

6

About

S. Mohammadreza Kasaei is a robotics researcher whose work spans autonomous mobile robotics, humanoid locomotion, and multi-agent systems, with a particular focus on soccer robotics within the RoboCup competition framework. His early contributions, beginning around 2009–2011, centered on designing and implementing fully autonomous middle-size soccer robots, integrating omnidirectional vision systems, solenoid-based kicking mechanisms, and fuzzy logic decision-making algorithms into cohesive, competition-ready platforms. These foundational efforts demonstrated his ability to bridge mechanical design, computer vision, and artificial intelligence in real-world robotic systems. Kasaei's research later evolved toward the more complex challenge of bipedal humanoid locomotion. His most-cited work (17 citations) introduced a reliable model-based walking engine with push recovery capability, addressing the inherent instability of bipedal robots. Complementary studies explored hybrid ZMP-CPG walking frameworks and enhanced Linear Inverted Pendulum models with flywheel extensions, collectively advancing robust, omnidirectional locomotion for humanoids. He also investigated machine-learning approaches for fall avoidance in adult-size humanoid robots competing under physically demanding conditions. Across roughly a decade of research, Kasaei has made meaningful contributions to making autonomous robots more reliable, adaptable, and capable of operating effectively in dynamic, competitive environments.

Research Focus

Key Achievements

6
H-Index
14
Papers
99
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A reliable model-based walking engine with push recovery capability
17 citations · 2017
📈 Most Prolific Year: 2010 (5 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Islamic Azad University, Isfahan, University of Aveiro, Islamic Azad University, Tehran

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago