Takaki Ikeda

Kyushu University

Papers

1

Total Citations

3

H-Index

1

About

Dr. Takaki Ikeda is a leading researcher in underwater robotics and 3D sensing, with a primary focus on advancing simultaneous localization and mapping (SLAM) systems for subsea environments. His most notable contribution is the development of a two-stage pose optimization algorithm that integrates color information with a light-sectioning-based 3D scanning method, enabling more accurate and robust underwater SLAM. This work, published in 2024 and already garnering 3 citations, addresses a critical challenge in remotely operated vehicle (ROV) navigation—optimizing pose estimation in visually degraded underwater conditions. Dr. Ikeda’s research bridges the gap between computer vision and marine robotics, offering practical solutions for infrastructure inspection, environmental monitoring, and archaeological surveys. By combining color cues with geometric data, his approach significantly enhances the reliability of 3D reconstruction in turbid waters. His achievements underscore a commitment to pushing the boundaries of autonomous underwater systems, making him a rising figure in the field. For students and researchers, Dr. Ikeda’s work exemplifies how innovative algorithm design can solve real-world problems in challenging environments, with clear potential for future impact in ocean exploration and industrial applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Two-stage pose optimization algorithm using color information for underwater SLAM with light-sectioning-based 3D scanning method
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Kyushu University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago