Ryuzo Ueda
Papers
1
Total Citations
32
H-Index
1
About
Ryuzo Ueda is a robotics researcher whose work centers on autonomous navigation and perception in dynamic, unstructured environments. His most cited contribution, "Working with movable obstacles using on-line environment perception reconstruction using active sensing and color range sensor" (2010, 32 citations), tackles a fundamental challenge in mobile robotics: operating without prior knowledge of the environment. Ueda proposed a strategy that enables a robot to detect and adapt to movable obstacles using only onboard sensors—specifically active sensing and a color range sensor. This approach allows the robot to reconstruct its perception of the environment in real time, adjusting its path as obstacles are displaced. By focusing on sensor-driven, online adaptation, Ueda’s work has influenced research in autonomous navigation, particularly for robots that must function in human-centric spaces where objects are frequently rearranged. His contributions highlight a practical, robust approach to perception and planning, making his research valuable for students and engineers developing robots for real-world, cluttered environments.
Research Focus
Key Achievements
Top Papers
- 1