Ninnart Fuengfusin
Papers
1
Total Citations
1
H-Index
1
About
Ninnart Fuengfusin is a researcher advancing the field of human support robotics, with a primary focus on optimizing object manipulation and storage for assistive systems. Their key research areas include robotic packing algorithms, spatial reasoning, and human-robot interaction in domestic environments. Fuengfusin’s major contribution is the development of a two-dimensional irregular packing algorithm specifically designed for human support robots, enabling efficient tray storage by intelligently determining optimal object placement. This work addresses a critical challenge in tidying tasks, where robots must detect objects and decide where to store them in confined spaces. Although early in its citation impact, with one citation to date, the 2025 paper represents a foundational step toward more autonomous and practical home-assistive robots. Fuengfusin’s research bridges the gap between algorithmic efficiency and real-world robotic application, offering a scalable solution for everyday tidying. Their work is particularly notable for tackling the underexplored problem of irregular object packing in service robotics, promising to enhance the utility of human support robots in cluttered, dynamic environments.
Research Focus
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Top Papers
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