Kenichi Arakawa
NTT (Japan), Hess (United States), Interface (United Kingdom)
Papers
9
Total Citations
44
H-Index
4
About
Kenichi Arakawa is a robotics researcher whose work has focused on sensor-enhanced robotic systems, human-robot interaction, and intelligent teaching methodologies for industrial automation. Over the course of his career, he has made significant contributions to the development of frameworks that bridge human operator expertise with robotic sensor capabilities, most notably through his concept of **Task World Reality (TWR)** and the accompanying **Multimodal Teaching Advisor (MTA)** system — work that has drawn consistent attention from the robotics community across multiple publications totaling over 40 citations. Arakawa's industrial contributions are equally notable. His development of a high-speed visual sensing system for robotic seam tracking in automobile body sealing achieved sub-millimeter accuracy in complex manufacturing environments, reflecting a strong commitment to real-world applicability. His early work on fractal geometry-based terrain modeling for autonomous mobile robot navigation demonstrated a breadth of interest spanning both outdoor exploration and factory-floor automation. Through research into visual trajectory tracking via preview control and spatial position tracking for on-site robot teaching, Arakawa has consistently advanced the goal of making robots more responsive, teachable, and collaborative partners in demanding work environments.
Research Focus
Key Achievements
Top Papers
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- 5Modeling of natural terrain based on fractal geometry4 citations · 1994
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- 7Visual Trajectory Tracking by Preview Control.3 citations · 1997
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