Rikuto Yamada
Papers
1
Total Citations
3
H-Index
1
About
Rikuto Yamada is a robotics researcher focused on advancing autonomous manipulation in retail environments, with a particular emphasis on pose estimation for simple-shaped objects using RGBD cameras. His most-cited work, "Pose Estimation of a Simple-Shaped Object Based on PoseClass Using RGBD Camera" (2021), addresses a critical challenge in developing robots capable of arranging goods in stores—a task of high commercial demand. By leveraging PoseClass methodology, Yamada enables robots to accurately determine the orientation of rectangular and other basic shapes, a foundational step for automated shelf stocking and organization. Though his citation count is modest (3 citations), the practical significance of his research lies in its direct application to real-world retail automation, bridging computer vision and robotics. Yamada’s contributions are notable for their focus on simplicity and efficiency, offering scalable solutions for industries seeking to deploy robots in unstructured environments. His work represents a targeted effort to reduce the gap between laboratory perception systems and operational retail robotics, making him a promising voice in applied robotic manipulation.
Research Focus
Key Achievements
Top Papers
- 1