Hirozumi Yamaguchi
Papers
5
Total Citations
19
H-Index
3
About
Hirozumi Yamaguchi is a leading researcher at the intersection of robotics, pervasive computing, and intelligent infrastructure. His work focuses on creating autonomous systems that can perceive, map, and interact with complex human environments. A cornerstone of his contribution is a novel algorithm for **indoor map generation from multiple LIDAR point clouds**, which improves upon traditional ICP methods for robot SLAM. He has also pioneered the integration of **Large Language Models with multimodal sensor fusion** for adaptive robot navigation, enabling dynamic obstacle avoidance and human-aware path planning in diverse settings. His research extends to **in-home activity monitoring**, where he uses mobile robots with Kinect sensors to log micro-motions for elderly care, and to **wireless communication optimization** in challenging logistics environments. With over 19 citations across his most influential works, Yamaguchi’s impact is evident in his vision for a **Situational Awareness Platform for City Transportation**, aligning with Japan’s Society5.0 initiative. His work bridges the gap between raw sensor data and intelligent, context-aware action, making him a key figure in the development of truly autonomous, human-centric robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Indoor Map Generation from Multiple LIDAR Point Clouds9 citations · 2018
- 2
- 3In-home Activity and Micro-motion Logging Using Mobile Robot with Kinect3 citations · 2016
- 4
- 5Keynote: Situational Awareness Platform for City Transportation2 citations · 2020