Yoshitaka Yamane
Papers
1
Total Citations
3
H-Index
1
About
Yoshitaka Yamane is a researcher in human-robot interaction, with a focus on developing natural, non-task-oriented dialogue systems that enable more intuitive communication between humans and robots. His most-cited work, "Development of non-task-oriented dialogue system for human friendly robots" (2020), addresses a critical gap in robotics: creating systems that can engage in casual, context-aware conversation rather than merely executing commands. Yamane’s contributions center on prototyping and evaluating three core components of dialogue—voice recognition, sentence comprehension, and response generation—aiming to make robots more socially approachable and "friendly." While his citation count is modest (3 citations for this key paper), his work represents an early step toward integrating conversational AI with physical robotics, a field that has since grown rapidly. His research is particularly relevant for students and engineers interested in the intersection of natural language processing, human-robot interaction, and user experience design. By prioritizing non-task-oriented dialogue, Yamane highlights the importance of social presence in robotics, laying groundwork for future systems that can serve as companions, assistants, or educators in everyday settings.
Research Focus
Key Achievements
Top Papers
- 1