Ken'ichi HANARI

NTT (United States), NTT (Japan)

Papers

2

Total Citations

4

H-Index

2

About

Ken'ichi Hanari is a pioneering researcher in the field of underground construction robotics, with a specific focus on the precision directional control of small tunneling robots. His foundational work addresses the critical challenge of automating the navigation of these machines, which are essential for installing telecommunications conduits without disruptive surface excavation. Hanari’s major contributions include the development of a dynamic simplified model for directional correction, employing the least squares method for parameter identification, and the implementation of an optimal regulator for autonomous control. He further advanced the field by integrating neural networks for the autotuning of feedback gains, moving beyond conventional reliance on operator intuition. While his most-cited papers, from 1993 and 1997, each hold 2 citations, they represent foundational steps in the automation of trenchless technology. This early work laid the groundwork for more sophisticated autonomous systems in civil engineering, demonstrating a forward-thinking approach to integrating control theory and machine learning into practical, heavy machinery applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Simplified Model and Autotuning of Feedback Gain for Directional Control Using a Neural Network for a Small Tunneling Robot.
2 citations · 1997
📈 Most Prolific Year: 1997 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: NTT (United States), NTT (Japan)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago