T. Komatsu

Keio University

Papers

1

Total Citations

2

H-Index

1

About

T. Komatsu is a leading researcher in domestic service robotics (DSRs), with a focus on enhancing the linguistic explainability and predictive capabilities of autonomous systems. Their major contribution lies in pioneering methods for robots to anticipate and describe future risks—such as potential collisions during object placement tasks—using natural language. Komatsu’s work bridges the gap between robotic action planning and human-readable communication, enabling DSRs to not only perform tasks but also explain the consequences of their actions in real time. This research addresses a critical gap in human-robot interaction, where robots must convey safety-related information to users. With their most-cited paper, "Nearest neighbor future captioning: generating descriptions for possible collisions in object placement tasks" (2024, 2 citations), Komatsu has laid the groundwork for more transparent and trustworthy domestic robots. Their work is particularly notable for integrating computer vision, natural language generation, and risk assessment, making it highly relevant for students and researchers interested in explainable AI, robotics safety, and human-centered automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Nearest neighbor future captioning: generating descriptions for possible collisions in object placement tasks
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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