Papers

21

Total Citations

216

H-Index

9

About

Taiki Ogata is a robotics researcher whose work spans medical simulation robotics, mobile robot coordination, and assistive technology. He is perhaps best known for his pioneering development of robot patients designed to revolutionize nursing education. His series of robot patient systems — progressing from early prototypes to sophisticated models equipped with inertial measurement units and angular position sensors — enable nursing students to practice patient transfer skills with realistic, programmable simulations of paralysis, pain responses, and varied mobility conditions. These contributions, accumulating nearly 100 citations across multiple studies, have meaningfully advanced simulation-based healthcare training. Beyond medical robotics, Ogata has made notable contributions to mobile robot coordination, developing innovative strategies that allow small robots to transport heavy objects using handcarts and outriggers — a creative solution to payload limitations in cooperative robotics. His research also extends into assistive wearable technology, including a device delivering synchronized tactile stimulation to improve gait in Parkinson's disease patients, and human-tracking systems using quadrotors and environmental cameras. His work on mobile robot exploration further demonstrates a broad command of autonomous navigation. Collectively, Ogata's research reflects a consistent commitment to solving real-world challenges through intelligent robotic systems across healthcare, logistics, and human-robot interaction.

Research Focus

Key Achievements

9
H-Index
21
Papers
216
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Impact of Using a Robot Patient for Nursing Skill Training in Patient Transfer
29 citations · 2016
📈 Most Prolific Year: 2017 (5 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: The University of Tokyo, Tokyo Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago