Yohei Kakiuchi
Papers
1
Total Citations
2
H-Index
1
About
Yohei Kakiuchi is a robotics researcher whose work sits at the intersection of computer vision, 3D sensing, and intelligent environment understanding. His research focuses on enabling robots to perceive and interact with real-world domestic environments — a foundational challenge in bringing autonomous systems into everyday human spaces. His most notable contribution involves the development of a composite sensor system capable of capturing color range images, paired with a novel 3D point cloud matching algorithm that leverages color histograms for rapid object modeling. This work addresses one of robotics' persistent challenges: how can a robot efficiently recognize and reconstruct the 3D shape of previously unseen objects in unstructured household environments? By accelerating the registration process through color-based template matching, Kakiuchi's approach offers a practical pathway toward real-time environmental mapping — a critical capability for service robots operating outside controlled laboratory settings. While still accumulating citations in the broader literature, this 2011 work represents a meaningful early contribution to household robotics perception, a field that has grown substantially in importance with the rise of domestic robot applications. Kakiuchi's research exemplifies the careful, systems-level thinking required to bridge raw sensor data and actionable robotic intelligence.
Research Focus
Key Achievements
Top Papers
- 1