Kosei Yamao
Papers
2
Total Citations
3
H-Index
1
About
Kosei Yamao is a robotics researcher specializing in service robotics and human-robot interaction, with a focus on enabling robots to interpret and organize domestic environments. His work centers on two key areas: object position interpretation and optimized physical manipulation for tidying tasks. In his 2025 paper on "Object Positions Interpretation System for Service Robots Through Targeted Object Marking," Yamao introduced the Set of Mark (SoM) visual prompting method, which allows robots to recognize furniture and understand spatial relationships between objects—critical for executing complex home tasks. This work has already garnered 2 citations for its novel approach to environmental understanding. His complementary study on "Optimizing Object Placement for Human Support Robots Using a Two-dimensional Irregular Packing Algorithm for Efficient Tray Storage" (2025, 1 citation) tackles the practical challenge of tidying up, specifically determining optimal tray storage positions through advanced packing algorithms. By bridging visual interpretation and physical organization, Yamao's contributions advance the capability of human support robots (HSRs) to assist with daily chores, making them more intuitive and efficient. His research holds promise for real-world applications in smart homes and assistive technology.
Research Focus
Key Achievements
Top Papers
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- 2