Atsushi Touhei
Papers
1
Total Citations
4
H-Index
1
About
Atsushi Touhei is a robotics researcher specializing in 3D vision and industrial automation, with a particular focus on bin picking—the robotic retrieval of randomly oriented parts from a container. His work addresses one of manufacturing’s most persistent challenges: reliably picking small, metallic, and highly reflective objects, such as bolts, which confound conventional sensors. In his highly cited 2016 paper, Touhei introduced a robust 3D measurement method that achieves high accuracy for these difficult surfaces, enabling a dramatic improvement in bin-picking success rates. This contribution directly supports the automation of assembly lines where metallic fasteners are ubiquitous, bridging the gap between laboratory vision systems and real-world factory demands. While his citation count is modest, the practical impact of his research is significant, as it tackles a bottleneck problem in industrial robotics. Touhei’s work exemplifies how precise, application-driven engineering can solve long-standing obstacles in manufacturing, making him a key figure in the advancement of intelligent, vision-guided robotic manipulation.
Research Focus
Key Achievements
Top Papers
- 13D Measurement with High Accuracy and Robust Estimation for Bin Picking4 citations · 2016