Yoshitaka Sato
Papers
1
Total Citations
2
H-Index
1
About
Yoshitaka Sato is a researcher in robotics and automation, with a focus on intelligent control systems and computer vision. His work centers on developing autonomous mobile robots capable of navigating and interacting with their environments through advanced image processing techniques. In his most-cited paper, "Control system for automatic search and transportation of an object by a mobile robot using image processing" (2021), Sato presents a novel framework that integrates real-time visual feedback with motion control, enabling robots to autonomously locate and transport objects. This contribution addresses key challenges in industrial automation and service robotics, where efficient object manipulation is critical. While his citation count is still emerging—with 2 citations to date—his research lays foundational groundwork for future advancements in autonomous navigation and human-robot collaboration. Sato's work is particularly relevant for students and researchers interested in the intersection of robotics, computer vision, and control theory, offering practical insights into building responsive, vision-guided systems. His ongoing efforts promise to enhance the adaptability and intelligence of mobile robots in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1