Papers
5
Total Citations
41
H-Index
4
About
Shun Niijima is a robotics researcher focused on solving one of the most challenging problems in autonomous navigation: enabling robots to operate safely and efficiently in complex, crowded urban environments. His work centers on developing robust mapping and navigation systems that allow autonomous mobile robots—from electric wheelchairs to city-scale vehicles—to understand and traverse real-world cityscapes. Niijima’s major contributions include the creation of grid-topological hybrid maps for city-scale navigation (18 citations), a framework that intelligently combines topological structure with detailed grid information to handle extensive urban areas. He has also pioneered methods for generating large-scale 3D fundamental maps using SLAM and graph-based optimization (8 citations), and developed a practical system for autonomous electric wheelchair navigation using self-generated 2D drivable maps (8 citations). His recent work on semi-automatic town-scale 3D mapping from publicly available map data (5 citations) and a real-robot friendly passing motion planner for navigating crowds (2 citations) further demonstrates his commitment to creating deployable, real-world robotic systems. Niijima’s research bridges the gap between theoretical mapping algorithms and practical, human-friendly robot navigation.
Research Focus
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Top Papers
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