A. Maruyama
Papers
1
Total Citations
2
H-Index
1
About
A. Maruyama is a researcher specializing in robotics, control systems, and computer vision, with a particular focus on the intersection of visual feedback and nonlinear mechanical systems. Their most recognized contribution lies in the development of dynamic visual feedback control frameworks for nonlinear mechanical systems, as detailed in their 2002 work on stability and tracking performance. This research made meaningful strides in advancing robot motion control by introducing a model of relative rigid body motion combined with a nonlinear observer, enabling the derivation of sophisticated visual feedback systems. Maruyama's work further contributed a design algorithm for three-dimensional visual feedback control, addressing the complex challenges inherent in real-world robotic manipulation and tracking tasks. While the citation count of this work remains modest at 2, it represents a technically rigorous contribution to a niche but important area of robotics research, where precise control under visual uncertainty is critical. Maruyama's efforts reflect a commitment to bridging theoretical control design with practical robotic applications, offering foundational tools for researchers working on vision-guided autonomous systems and advanced motion control in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1