Hamed Khoshravan
Papers
1
Total Citations
2
H-Index
1
About
Hamed Khoshravan is a researcher whose work sits at the intersection of intelligent control systems and robotics, with a particular focus on applying adaptive neuro-fuzzy inference systems (ANFIS) to real-world engineering challenges. His most cited paper, "Designing Ping-Pong Player Robot Controller with ANFIS" (2011), demonstrates his core contribution: developing intelligent controllers that minimize human intervention in dynamic, fast-paced environments. By training a two-stage algorithm on a ping-pong playing robot, Khoshravan showed how ANFIS can handle complex, real-time decision-making tasks—a methodology with broad implications for autonomous systems and industrial automation. While his citation count (2) reflects a niche but focused impact, his work stands out for its practical, hands-on approach to bridging theoretical AI techniques with tangible robotic applications. This research is particularly valuable for students and engineers exploring how fuzzy logic and neural networks can be combined to create adaptive, human-like control in robotics. Khoshravan’s contributions offer a clear, accessible entry point into the challenges of designing intelligent, autonomous machines.
Research Focus
Key Achievements
Top Papers
- 1Designing Ping-Pong Player Robot Controller with ANFIS2 citations · 2011