Koichi Hidaka
Papers
8
Total Citations
38
H-Index
4
About
Koichi Hidaka’s research lies at the intersection of human–machine interaction, autonomous navigation, and intelligent robotics, with a particular focus on human adaptive mechatronics (HAM). His foundational work on evaluating human skill in teleoperation systems established methods for quantifying operator proficiency, contributing directly to the development of intelligent mechanical systems that adapt to and enhance user capabilities. In autonomous robotics, Hidaka has made notable contributions to obstacle detection and environment mapping for industrial vehicles, including a stereo-camera-based system for distinguishing static and moving obstacles and a hybrid sensor-frontier exploration algorithm for efficient map generation. His work on skill analysis and input-output time delay in wheeled mobile robot operation has provided key insights into the dynamics of human learning and machine adaptation. With over 30 citations across his most influential papers, Hidaka’s research has practical implications for factory automation, logistics, and assistive robotics. His development of adaptive control for omnidirectional automated guided vehicles and route space detection using extended histograms of oriented gradients further underscores his impact on real-world industrial applications.
Research Focus
Key Achievements
Top Papers
- 1Evaluation of Human Skill in Teleoperation System9 citations · 2006
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- 4Skill analysis of wheel mobile robot operation4 citations · 2007
- 5Relation between skill revel and input-output time delay4 citations · 2006
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