Katsuaki Shiraishi
Papers
1
Total Citations
2
H-Index
1
About
Katsuaki Shiraishi is a researcher in robotics and computer vision, with a focus on developing autonomous systems for healthcare and assistive environments. His work addresses the challenge of enabling robots to perceive and interact with their surroundings in unstructured, human-centered spaces. Shiraishi’s most cited paper, “A SIFT Feature-Based Template Matching Method for Detecting and Counting Objects in Life Space” (2010), introduces a robust approach to object counting using image analysis—a task that is deceptively difficult for machines. By leveraging SIFT (Scale-Invariant Feature Transform) features, his method improves the accuracy of detecting and tallying objects in real-world settings, such as nursing care or medical facilities, where autonomous robots are expected to operate. Although his citation count is modest, this work contributes to the foundational challenge of visual perception for service robots. Shiraishi’s research sits at the intersection of robotics, image processing, and human-robot interaction, aiming to make autonomous systems more reliable in daily life. His efforts support the broader goal of integrating robots into caregiving roles, where precise environmental understanding is critical for safe and effective operation.
Research Focus
Key Achievements
Top Papers
- 1