Papers

3

Total Citations

19

H-Index

3

About

Yuki Takeda is a researcher whose work bridges human-robot interaction, telepresence systems, and rehabilitation robotics. A key contribution is in enhancing communication for humanoid robots, where Takeda’s 2018 study on generating gestures during presentations (13 citations) demonstrated that expressive body language significantly improves information transmission and audience engagement—a finding with direct implications for social robotics and public-speaking aids. In telepresence, Takeda advanced 3D human reconstruction from single images (2020, 3 citations), enabling remote collaborators to view workspaces from a bird’s-eye perspective, thereby improving spatial understanding in mobile systems. Notably, Takeda also contributed to medical robotics with a clinical trial on the HAL (Hybrid Assistive Limb) robot suit for acute-phase stroke rehabilitation (2015, 3 citations). This study showed that patients using HAL alongside conventional therapy achieved significantly faster comfortable walking speeds, highlighting the suit’s motion-assist features for early gait recovery. By integrating robotics into both social and clinical contexts, Takeda’s work demonstrates a versatile impact—from making robots more persuasive communicators to aiding human physical recovery.

Research Focus

Key Achievements

3
H-Index
3
Papers
19
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Generation of Gestures During Presentation for Humanoid Robots
13 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Dai Nippon Printing (Japan), The University of Tokyo, Ohkawara Neurosurgical Hospital

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago