Youhei Suganuma
Papers
1
Total Citations
9
H-Index
1
About
Youhei Suganuma’s research centers on autonomous mobile robotics, with a particular focus on self-localization, environmental perception, and target-searching in real-world settings. His most cited work, “Development of an Autonomous Mobile Robot with Self-Localization and Searching Target in a Real Environment” (2015), introduces a practical robotic platform designed to verify robust localization and navigation methods under realistic conditions—bridging the gap between simulation and physical deployment. This foundational contribution has garnered 9 citations, reflecting its value for researchers working on field robotics and sensor-based autonomy. Suganuma’s approach emphasizes system integration and experimental validation, key for advancing robots that operate reliably outside controlled labs. His work supports broader applications in service robotics, disaster response, and automated inspection. By tackling the core challenge of enabling a robot to locate itself and find targets in cluttered, dynamic environments, Suganuma has provided a tangible benchmark for real-world mobile robot development. His research continues to inform practical autonomous systems, making his contributions a solid reference point for students and engineers building robust, self-navigating machines.
Research Focus
Key Achievements
Top Papers
- 1