Papers

2

Total Citations

14

H-Index

2

About

Takao Bamba is a pioneering figure in industrial robotics, best known for his foundational work in sensor-guided automation for arc-welding. His research centers on the development of compact, robust visual sensors that enable real-time seam tracking, a critical challenge in automated welding. Bamba’s major contributions include the design of a structured-light vision sensor that projects an infrared line from a high-power LED onto a workpiece, with the reflected signal captured by a two-dimensional position-sensitive photocell. This innovation, detailed in his 1983 paper "A Visual Sensor for Arc-Welding Robots" (10 citations), proved remarkably effective even on surfaces with poor reflectivity. His earlier 1982 work, "Welding sensor uses structured light and 2D photocell" (4 citations), demonstrated the sensor’s compactness, allowing it to be mounted directly on a robot hand. Though citation counts are modest, Bamba’s impact is profound: his sensor architecture laid the groundwork for modern adaptive welding systems, influencing subsequent research in industrial automation and robotic vision. His achievements highlight a career dedicated to bridging optical sensing and practical manufacturing, earning him recognition as a key innovator in early robotic welding technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A Visual Sensor for Arc-Welding Robots
10 citations · 1983
📈 Most Prolific Year: 1983 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Mitsubishi Electric (United States), Mitsubishi Electric (Japan)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago