Ichiro Yoshida
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
Top Papers
- 1
- 2Sensors and crabbing for an in-pipe magnetic-wheeled robot6 citations · 2002
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