Papers

3

Total Citations

19

H-Index

3

About

Daiki Yamada is a robotics researcher specializing in autonomous underwater vehicles (AUVs) and underwater inspection technologies. His work focuses on solving critical challenges in underwater robotics, including vision-based navigation, autonomous docking, and structural maintenance. Yamada’s most-cited paper, “Experimental verification of turbidity tolerance of stereo-vision-based 3D pose estimation system” (2018, 7 citations), demonstrates his expertise in enabling reliable robot perception in low-visibility underwater environments. In “Docking Experiment in Dark Environments Using Active/Lighting Marker and HSV Correlation” (2018, 6 citations), he addresses a fundamental step toward long-term AUV autonomy: the ability to recharge without surface vessel support. His paper “Underwater Robot with Negative Pressure Effect Plates for Maintenance of Underwater Structures” (2019, 6 citations) introduces an innovative approach using Bernoulli’s principle to stabilize robots during inspection and repair tasks. These contributions collectively advance the practicality of underwater robots for extended, independent operations in challenging conditions—a key requirement for offshore infrastructure maintenance and marine research.

Research Focus

Key Achievements

3
H-Index
3
Papers
19
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Experimental verification of turbidity tolerance of stereo-vision-based 3D pose estimation system
7 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Okayama University, Okayama University of Science, Ritsumeikan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago