Papers

8

Total Citations

29

H-Index

3

About

Takahiko Nakamura is a robotics researcher focused on autonomous navigation, SLAM (Simultaneous Localization and Mapping), and disaster response systems. His work centers on enabling mobile robots to operate reliably in dynamic, unstructured environments—from kindergartens filled with active children to collapsed buildings requiring rescue operations. Nakamura’s major contributions include developing a simplified EKF-SLAM method that uses retro-reflective markers and laser range sensors to create robust environmental maps even in chaotic settings, and a navigation technique combining Artificial Potential Fields with SLAM for real-time obstacle avoidance. He also designed a hybrid rescue robot with multi-legs and omni-directional wheels capable of traversing both irregular and flat surfaces in disaster zones. His most cited work, “Robot navigation in dynamic environment using Navigation function APF with SLAM” (7 citations), demonstrates his impact on practical robot autonomy. More recently, Nakamura has expanded into novel applications, including a microwave snow-melting system with wireless power transmission for minecarts, and drone-based evacuation support systems for natural disasters. His research consistently bridges theoretical SLAM advances with real-world deployment challenges.

Research Focus

Key Achievements

3
H-Index
8
Papers
29
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Robot navigation in dynamic environment using Navigation function APF with SLAM
7 citations · 2014
📈 Most Prolific Year: 2014 (4 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Tokyo Denki University, National Institute of Technology, Hakodate College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago