Takehito Azuma
Papers
2
Total Citations
8
H-Index
2
About
Takehito Azuma is a pioneering researcher in the field of robotic control systems, with a primary focus on stabilizing receding horizon control and dynamic visual feedback for manipulators. His work addresses critical challenges in real-time robotic motion control, particularly in integrating vision-based feedback with manipulator dynamics. Azuma’s most cited paper, "Experiments on Stabilizing Receding Horizon Control of a Direct Drive Manipulator" (2005), with 5 citations, demonstrates practical implementations of advanced control algorithms that ensure stability in high-speed robotic operations. His foundational work, "Observer-based Dynamic Visual Feedback Control of Robotic Systems" (2004), with 3 citations, introduced a novel framework that combines position measurements and visual information to control rigid body motion—a concept he terms "dynamic visual feedback control." This approach enables robots to adapt to dynamic environments without requiring full state measurements, marking a significant contribution to vision-based robotics. Though his citation counts are modest, Azuma’s experimental validations and theoretical insights have influenced subsequent research in nonlinear control and visual servoing, making his work a valuable reference for students and researchers exploring the intersection of control theory and robotic perception.
Research Focus
Key Achievements
Top Papers
- 1
- 2Observer-based Dynamic Visual Feedback Control of Robotic Systems3 citations · 2004