Ichiro Yoshida

Hosei University, Osaka Gas (Japan)

Papers

4

Total Citations

19

H-Index

3

About

Ichiro Yoshida is a pioneering roboticist whose research bridges intelligent navigation, precision measurement, and sustainable manufacturing. His most cited work, "Human-like Artificial Intelligent Wheelchair Robot Navigated by Multi-Sensor Models in Indoor Environments and Error Analysis" (2017, 8 citations), tackles the challenge of autonomous indoor mobility by training neural networks on multi-sensor data to mimic human-like navigation—a foundational contribution to assistive robotics. Earlier, Yoshida developed an in-pipe magnetic-wheeled robot with adhesion detection sensors and crabbing capabilities (2002, 6 citations), enabling versatile travel through complex pipe geometries for inspection tasks. His recent studies focus on precision: optimizing electromagnet voltage for vibration-based surface roughness measurement in hazardous power plant environments (2021, 3 citations), and proposing surface texture parameters for injection-molded direct joining via micro blasting (2020, 2 citations)—a technique critical for lightweighting transportation equipment to address environmental challenges. Though his citation counts are modest, Yoshida’s work demonstrates sustained impact across diverse domains—from human-like AI navigation and pipe inspection to precision metrology and eco-friendly manufacturing—reflecting a career dedicated to solving real-world engineering problems through sensor integration and robotic innovation.

Research Focus

Key Achievements

3
H-Index
4
Papers
19
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Human-like Artificial Intelligent Wheelchair Robot Navigated by Multi-Sensor Models in Indoor Environments and Error Analysis
8 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Hosei University, Osaka Gas (Japan)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago