Y. Nagashima
Papers
4
Total Citations
157
H-Index
3
About
Y. Nagashima is a leading researcher in robotics and autonomous systems, with a primary focus on warehouse automation and mobile robot navigation. His most impactful work centers on developing intelligent robotic solutions for logistics, most notably his 2019 paper on a "New Automated Guided Vehicle System Using Real-Time Holonic Scheduling for Warehouse Picking," which has garnered 78 citations. This work revolutionized order-picking efficiency by enabling AGVs to transport entire shelves to human pickers, significantly streamlining warehouse operations. In the domain of mobile robot perception, Nagashima has made foundational contributions to ultrasonic sensing, publishing highly cited papers (50 and 27 citations) on techniques for measuring the normal direction of walls to enable robots to recognize and map unknown indoor environments. His research addresses the critical challenge of specular reflection from flat surfaces, allowing robots to construct more accurate environmental maps. Additionally, his work on robust self-localization in multi-robot environments—detecting other robots from range data—has advanced the reliability of autonomous delivery systems in factories and warehouses. Through these contributions, Nagashima has established himself as a key innovator bridging sensing technology and practical logistics automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4