Y. Fujisaku

Tokai University

Papers

1

Total Citations

3

H-Index

1

About

Y. Fujisaku is a robotics researcher whose work centers on human-robot interaction, particularly through the development of non-task-oriented dialogue systems. Their most cited paper, "Development of non-task-oriented dialogue system for human friendly robots" (2020, 3 citations), tackles the challenge of making robots more approachable and communicative in everyday settings. Fujisaku’s major contribution lies in systematically prototyping and evaluating the three core components of spoken dialogue: voice recognition, sentence comprehension, and response generation. This work aims to move beyond task-specific commands toward more natural, social conversation—a crucial step for robots intended to coexist with humans. While their citation count reflects an emerging career, the research addresses a foundational need in socially assistive robotics, where fluid, non-goal-oriented dialogue is key to user acceptance. Fujisaku’s approach emphasizes iterative experimentation and real-world evaluation, offering a practical blueprint for building friendlier machines. For students and researchers in human-robot interaction, this work provides a clear, component-based framework for designing dialogue systems that prioritize naturalness over mere functionality.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Development of non-task-oriented dialogue system for human friendly robots
3 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Tokai University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago