Ryosuke Idenuma
Papers
1
Total Citations
1
H-Index
1
About
Ryosuke Idenuma is a robotics researcher focused on advancing autonomous navigation in complex, non-planar environments. His work centers on developing efficient 3D perception and mapping techniques, particularly through the construction of 3D-Gaussian clusters and elevation maps. Idenuma’s major contribution lies in enabling mobile robots to navigate uneven terrain—such as stairs, slopes, and rubble—by creating lightweight, real-time representations of the environment that balance accuracy with computational efficiency. His 2025 paper, "Efficient construction of 3D-Gaussian clusters and elevation maps for autonomous mobile robot navigation in non-planar environments," has already garnered initial citations, signaling its relevance to the field. By integrating Gaussian-based modeling with elevation mapping, Idenuma addresses a critical gap in robotic navigation, where traditional planar assumptions fail. His work is particularly impactful for applications in search-and-rescue, planetary exploration, and autonomous logistics, where robots must operate reliably in unstructured settings. Idenuma’s research promises to push the boundaries of how robots perceive and move through the world, making autonomous systems more adaptable and robust.
Research Focus
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Top Papers
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