Shohei Iwata
Papers
1
Total Citations
3
H-Index
1
About
Shohei Iwata is a robotics researcher whose work centers on visual perception and autonomous navigation for mobile robots in outdoor environments. His most notable contribution is the development of a visual attitude control system that enables an outdoor autonomous mobile robot to maintain stable orientation using only camera input. Rather than relying on expensive inertial sensors, Iwata’s method cleverly constructs a virtual barycenter from a quadrangle formed by four feature points in the camera image. By continuously tracking these points via optical flow, the robot can update its attitude in real time, offering a cost-effective and robust solution for field robotics. Though his highly cited paper on this topic has accumulated 3 citations, its practical significance lies in demonstrating how computer vision alone can replace traditional attitude sensors in outdoor settings. This work represents an important step toward more accessible autonomous navigation for mobile robots operating in unstructured, real-world conditions.
Research Focus
Key Achievements
Top Papers
- 1