Mizuki Kosuda

Keio University

Papers

1

Total Citations

3

H-Index

1

About

Mizuki Kosuda is a researcher at the forefront of accessible artificial intelligence and service robotics, with a primary focus on democratizing robot application development. Her most cited work centers on the development of PRINTEPS, an innovative AI and service robot application development platform designed specifically for end users without programming expertise. Kosuda’s major contribution lies in creating a scenario editor that enables users to describe workflows for robot actions and human-robot interactions through a knowledge chunks reuse approach, significantly reducing the cost and complexity of developing service robot applications. Her 2019 paper, “A Teaching Assistant Robot Design Tool Based on Knowledge Chunks Reuse,” has garnered 3 citations, establishing a foundation for more intuitive human-robot collaboration. Kosuda’s work addresses a critical barrier in robotics—making sophisticated AI tools accessible to non-specialists—thereby expanding the potential for robots in education, healthcare, and everyday assistance. Her research represents a pivotal step toward bridging the gap between advanced AI capabilities and practical, user-friendly deployment.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Teaching Assistant Robot Design Tool Based on Knowledge Chunks Reuse
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago