Yoshitaka Nagai
Papers
1
Total Citations
4
H-Index
1
About
Yoshitaka Nagai is a robotics researcher whose work focuses on advancing autonomous navigation systems for mobile robots. His key contributions lie in developing practical, sensor-efficient navigation frameworks that reduce the need for extensive prior data collection. In his most cited work, "Development of Edge-Node Map Based Navigation System Without Requirement of Prior Sensor Data Collection" (2020, 4 citations), Nagai proposed a novel approach that leverages easily created edge-node maps derived from electronic maps. This method eliminates the reliance on computationally expensive occupancy grid maps or 3D point cloud maps, which typically require running the robot to gather sensor data beforehand. By enabling self-localization without this prerequisite, Nagai's research addresses a critical bottleneck in deploying autonomous robots in real-world environments. His work is particularly valuable for applications where quick deployment and minimal setup are essential, such as in logistics, service robotics, or disaster response. Though his citation count is modest, his contributions offer a streamlined, cost-effective path toward more accessible and practical robot navigation systems.
Research Focus
Key Achievements
Top Papers
- 1