Masayoshi Tabuse
Papers
8
Total Citations
64
H-Index
5
About
Masayoshi Tabuse is a pioneering researcher in the intersection of robotics, artificial intelligence, and human-robot interaction, with a career spanning over two decades. His work is defined by a deep commitment to creating robots that can perceive, understand, and respond to human emotions and behaviors. Tabuse’s most impactful contribution is his development of a pattern recognition method for decoding a baby’s emotional cries—distinguishing between discomfort, hunger, and sleepiness—a breakthrough for robotics baby caregivers that has garnered 21 citations. He has also advanced facial expression recognition, using thermal image processing to analyze intensity characteristics, and proposed SURF feature-based navigation for autonomous mobile robots, enabling robust outdoor and indoor self-localization. Early in his career, Tabuse applied Khepera robots to simulate highway autonomous mobiles and fish school behavior, laying foundational work in swarm robotics and neural network control systems. With over 60 citations across his key papers, Tabuse’s research consistently bridges the gap between machine perception and human emotional intelligence, making him a notable figure in socially assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Recognition of a Baby's Emotional Cry towards Robotics Baby Caregiver21 citations · 2013
- 2Khepera robots applied to highway autonomous mobiles10 citations · 2003
- 3Fish School Simulation for Khepera Robot8 citations · 2001
- 4
- 5Mobile robot navigation using SURF features6 citations · 2010
- 6Vowel Judgment for Facial Expression Recognition of a Speaker5 citations · 2011
- 7Outdoor autonomous navigation using SURF features5 citations · 2011
- 8