Naoki Mukada
Papers
2
Total Citations
13
H-Index
2
About
Naoki Mukada is a robotics researcher focused on advancing autonomous underwater vehicle (AUV) technology, particularly in the challenging domains of underwater docking and vision-based navigation. His work addresses critical barriers to long-term AUV autonomy, including poor visibility and turbid water conditions. Mukada’s most cited paper, “Experimental verification of turbidity tolerance of stereo-vision-based 3D pose estimation system” (2018, 7 citations), demonstrates his contribution to robust perception in degraded visual environments. In a second influential study, “Docking Experiment in Dark Environments Using Active/Lighting Marker and HSV Correlation” (2018, 6 citations), he tackles the foundational challenge of enabling AUVs to recharge autonomously underwater—a key step toward freeing these vehicles from surface vessel dependence. By developing active lighting markers and HSV-based correlation methods, Mukada has helped pave the way for practical, long-duration underwater missions. His research is notable for its experimental rigor and direct application to real-world marine operations, making him a promising contributor to the field of underwater robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2