Takashi Noguchi

The University of Tokyo, Kyushu University

Papers

2

Total Citations

36

H-Index

2

About

Takashi Noguchi is a pioneer in the integration of computer vision and robotic control, with his most influential work centering on visual servoing and teleoperation under constrained conditions. His landmark 1996 paper, "Visual servoing using eigenspace method and dynamic calculation of interaction matrices," introduced a novel framework that uses eigenspace representations to model the relationship between dynamic images and camera motion. This approach enables robots to adjust their movements based on visual feedback without requiring full 3D reconstruction, a significant advance for real-time control in unstructured environments. Noguchi’s method dynamically calculates interaction matrices, allowing for efficient and adaptive visual servoing even when the camera’s view is limited. His 1998 work on teleoperation of autonomous mobile robots under limited feedback information further demonstrates his focus on practical, robust systems—addressing how robots can operate effectively when communication bandwidth or sensor data is restricted. With over 22 citations for his foundational visual servoing paper, Noguchi’s contributions have influenced subsequent research in robot vision and autonomous navigation. His work remains essential reading for students and engineers developing vision-based control systems for mobile robots and manipulators.

Research Focus

Key Achievements

2
H-Index
2
Papers
36
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Visual servoing using eigenspace method and dynamic calculation of interaction matrices
22 citations · 1996
📈 Most Prolific Year: 1996 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: The University of Tokyo, Kyushu University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago