Hisato Fukuda

Saitama University

Papers

14

Total Citations

105

H-Index

6

About

Hisato Fukuda is a robotics researcher dedicated to developing intelligent assistive technologies that enhance mobility and independence, particularly for elderly and disabled individuals. His primary research areas include human-robot interaction, autonomous navigation, and service robotics, with a focus on creating robots that can seamlessly follow, understand, and cooperate with humans in real-world environments. Fukuda's most impactful work centers on person-following shopping support robots, where he pioneered the use of human pose skeleton data and LiDAR sensors to enable robots to autonomously track and assist shoppers (23 citations). He further advanced this concept by employing GRU networks to interpret shopping behavior from 2D skeleton data, allowing robots to anticipate customer needs (19 citations). His contributions extend to accessibility, notably developing a smart robotic wheelchair that uses CNN combined with Hough transforms to autonomously board buses (8 citations), and a wheelchair system with bidirectional sensing for safe maneuvering among people (9 citations). Through these innovations, Fukuda has demonstrated how combining computer vision, deep learning, and sensor fusion can create practical, cooperative robotic systems that improve quality of life.

Research Focus

Key Achievements

6
H-Index
14
Papers
105
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Person-Following Shopping Support Robot Based on Human Pose Skeleton Data and LiDAR Sensor
23 citations · 2019
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Saitama University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago