Xinkai Kuai
Papers
3
Total Citations
38
H-Index
2
About
Xinkai Kuai is a researcher whose work has concentrated at the intersection of mobile robotics, wireless sensor networks (WSNs), and autonomous navigation. His most notable contributions center on Simultaneous Localization and Mapping (SLAM), a foundational challenge in robotics concerned with enabling autonomous systems to construct environmental maps while simultaneously tracking their own position within unknown spaces. Kuai's research, primarily published around 2010, introduced innovative approaches to indoor robot navigation by leveraging WSN infrastructure to support localization and mapping tasks. Particularly significant was his application of compressive sensing techniques to the mapping and localization problem — a forward-thinking methodology that brought signal processing advances into the robotics domain. He also extended his SLAM research to multi-robot cooperative scenarios, investigating both local and global approaches to collaborative localization using trilateration methods within RF wireless networks. His most-cited work, "SLAM for Indoor Autonomous Mobile Robot Navigation in Wireless Sensor Networks," has garnered 19 citations, reflecting meaningful influence within this specialized research community. Collectively, his publications demonstrate a coherent research vision: making autonomous robot navigation more reliable and efficient through intelligent integration of sensor network technologies and advanced estimation frameworks.
Research Focus
Key Achievements
Top Papers
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