Yusuke Mutsuura
Papers
1
Total Citations
4
H-Index
1
About
Yusuke Mutsuura is a robotics researcher whose work centers on trajectory planning and control systems for robotic manipulators, with a particular focus on electromagnetic attraction mechanisms. His most notable contribution is a quasi-minimum time trajectory planning method for robot arms equipped with electromagnetic attraction hands, designed to optimize the transfer control of magnetic objects. In his 2009 study, Mutsuura proposed a novel approach that integrates genetic algorithms to achieve near-minimal motion times while maintaining precise control over three-link robotic arms driven by DC motors and reduction gears. This work bridges theoretical optimization with practical experimentation, demonstrating real-world applicability in automated handling systems. Though his citation count of 4 reflects a specialized niche, Mutsuura’s research addresses fundamental challenges in industrial robotics—balancing speed, accuracy, and energy efficiency in object manipulation. His methodology offers a foundation for further advancements in trajectory optimization, particularly in contexts requiring non-contact magnetic handling. For students and researchers exploring robotic control or evolutionary computation in engineering, Mutsuura’s work provides a clear example of how algorithmic planning can be validated through physical experimentation, contributing to the broader goal of more intelligent and adaptive automation systems.
Research Focus
Key Achievements
Top Papers
- 1