Pouyan Nasrollahi
Papers
2
Total Citations
10
H-Index
2
About
Pouyan Nasrollahi is a researcher specializing in artificial intelligence, robotics, and machine learning, with a particular focus on humanoid soccer robots. His work addresses the critical challenge of autonomous decision-making in dynamic environments, aiming to enhance robot performance in real-time scenarios. Nasrollahi’s major contributions include developing rule-based expert systems for action selection, enabling humanoid robots to choose optimal behaviors for faster ball possession and improved control. He has also pioneered the use of machine learning and data mining classification algorithms for action classification, allowing robots to categorize appropriate responses based on positional and environmental features. His most-cited paper, “Decision making of humanoid soccer robots using rule based expert systems” (2013), has garnered 6 citations, while his related work on action classification (2012) has received 4 citations. These studies, though modest in citation count, represent foundational steps in integrating AI with robotics for competitive, real-world applications. Nasrollahi’s research bridges rule-based and learning-based approaches, offering valuable insights for students and researchers interested in autonomous systems, humanoid robotics, and the intersection of machine learning with physical agent control.
Research Focus
Key Achievements
Top Papers
- 1
- 2Action classification of humanoid soccer robots using machine learning4 citations · 2012