Papers

5

Total Citations

42

H-Index

4

About

Jiraphan Inthiam is a researcher at the forefront of human-robot interaction (HRI) and mobile robotics, with a particular focus on enabling robots to perceive, express, and respond to human emotion. His work bridges the gap between technical navigation and social intelligence. Inthiam’s most cited paper (16 citations) introduces a novel self-localization and navigation algorithm for holonomic mobile robots using omni-directional wheel odometry, demonstrating a practical approach to precise positioning and heading alignment. He is perhaps best known for his contributions to social robotics, where he developed a mood perception model using Hidden Markov Models (HMMs) to estimate human emotions from facial and bodily expressions. This work, alongside his development of an emotional expression platform based on LMA-shape and interactive evolution computation, has been instrumental in creating more empathetic and responsive robots. Inthiam has also explored cloud-based control for robotic arms using backpropagation neural networks, showcasing his versatility across hardware and software domains. His research, accumulating over 40 citations, is paving the way for seamless, emotionally aware robotic companions.

Research Focus

Key Achievements

4
H-Index
5
Papers
42
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Self-localization and navigation of holonomic mobile robot using omni-directional wheel odometry
16 citations · 2014
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: King Mongkut's University of Technology North Bangkok, Kyushu Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago