Masato Ueki
Papers
1
Total Citations
4
H-Index
1
About
Masato Ueki is a researcher whose work lies at the intersection of robotics and advanced manufacturing, with a particular focus on the kinematic modeling and performance evaluation of robot-type machine tools. His most-cited paper, “Forward Kinematics Model for Evaluation of Machining Performance of Robot Type Machine Tool” (2021), addresses a critical challenge in the field: while robot machine tools offer superior flexibility and a wider motion range than conventional CNC machines, their performance is often limited by the complexity of simultaneous multi-axis link control. Ueki’s contribution lies in developing a forward kinematics model that enables precise evaluation of machining accuracy and dynamic behavior, providing a foundation for optimizing these systems. Though his citation count is modest, his work is significant for bridging the gap between robotic dexterity and machining precision—a key step toward more versatile, cost-effective manufacturing solutions. His research is particularly relevant for engineers and students interested in the future of flexible automation, where robots are increasingly tasked with high-accuracy material removal tasks traditionally reserved for rigid machine tools.
Research Focus
Key Achievements
Top Papers
- 1