Jun Younes Louhi Kasahara

The University of Tokyo

Papers

4

Total Citations

13

H-Index

2

About

Jun Younes Louhi Kasahara is a robotics researcher focused on autonomous inspection and monitoring in industrial environments. His work centers on three key areas: change detection for visual inspection, reinforcement learning for robot locomotion, and acoustic monitoring. His most impactful contribution is a system for detecting three-dimensional changes in plant environments using mobile robot video feeds, enabling autonomous visual inspection of industrial facilities. This work, published in 2025, has already garnered 5 citations. He has also developed a reinforcement learning-based method for tracked robots to traverse non-fixed, sphere-shaped obstacles, addressing a critical challenge in rough terrain navigation. Additionally, his research includes acoustic monitoring of industrial plants using autoencoders and mobile robots, and a sequential filtering method for detecting pipe surface changes from inspection videos. His work bridges robotics, computer vision, and machine learning to enhance industrial safety and efficiency.

Research Focus

Key Achievements

2
H-Index
4
Papers
13
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Change Detection in Image Pairs for Plant Inspection Using Mobile Robot
5 citations · 2025
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1
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  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago