Tatsuhiko Hirukawa
Papers
2
Total Citations
15
H-Index
2
About
Tatsuhiko Hirukawa is a robotics researcher whose work centers on the intersection of visual perception and nonholonomic motion control. His primary research areas include visual servoing, image-based navigation, and the control of mobile robots with active camera systems. Hirukawa’s major contribution lies in developing novel navigation methods that bridge the gap between classical visual servo techniques—typically designed for fixed-base manipulators—and the unique constraints of nonholonomic mobile robots. His most cited work, "Image feature based navigation of nonholonomic mobile robots with active camera" (2007, 10 citations), proposes a framework that enables an active camera mounted on a wheeled robot to guide trajectory tracking despite the robot’s inability to move sideways. This approach effectively adapts visual feedback to the robot’s kinematic limitations, allowing for more robust and flexible autonomous navigation. While his citation counts are modest, Hirukawa’s research addresses a fundamental challenge in field robotics: how to make vision-based control practical for real-world, constrained mobile platforms. His work is particularly relevant for students and researchers interested in the integration of computer vision and motion planning for nonholonomic systems.
Research Focus
Key Achievements
Top Papers
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- 2