Papers

4

Total Citations

41

H-Index

4

About

Panrasee Ritthipravat is a pioneering researcher in robotics and artificial intelligence, with a focus on intelligent control systems and robot-assisted learning. Her early work established foundational methods in mobile robot navigation and adaptive learning, including a modified approach to fuzzy Q-learning that introduced a reward-sharing mechanism to accelerate learning speed (26 citations). She also advanced obstacle avoidance techniques using modified Hopfield neural networks, contributing to safer autonomous navigation. More recently, Ritthipravat has ventured into educational robotics, developing a novel robot-assisted vocabulary learning system that leverages pure synthetic data for robust flashcard detection—a critical innovation for robot-assisted language learning (RALL). Her work demonstrates a sustained commitment to bridging theoretical AI with practical robotics applications, from path planning to human-robot interaction. With a career spanning two decades, her research has influenced both autonomous systems and educational technology, earning recognition for its interdisciplinary impact.

Research Focus

Key Achievements

4
H-Index
4
Papers
41
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A modifled approach to fuzzy Q learning for mobile robots
26 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: King Mongkut's University of Technology Thonburi, Mahidol University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago