Kanako Takeda

Keio University

Papers

1

Total Citations

3

H-Index

1

About

Kanako Takeda is a researcher focused on the intersection of robotics, human movement analysis, and intelligent home environments. Her primary research areas include kinematic prediction for human-robot interaction and the development of Biofied building concepts—spaces where home robots enhance safety, security, and comfort for residents, particularly in the context of aging populations and single-elderly households. Her most-cited work, "Prediction of 90-Degree Turn Using Kinematic Parameters for Implementation of Home Robot" (2020), demonstrates her contribution to enabling robots to anticipate human motion, a critical step for seamless collaboration in domestic settings. While her citation count is currently modest (3 citations for this paper), her work addresses a pressing societal need: supporting independent living through adaptive robotic systems. Takeda’s research is notable for its practical focus on implementing real-world robotic assistance, bridging the gap between theoretical kinematics and applied home robotics. Her efforts contribute to the broader goal of creating responsive, human-aware environments that improve quality of life for vulnerable populations.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
PREDICTION OF 90-DEGREE TURN USING KINEMATIC PARAMETERS FOR IMPLEMENTATION OF HOME ROBOT
3 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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