Kehu Yang

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Kehu Yang is a robotics and autonomous systems researcher whose work centers on mobile robot navigation, simultaneous localization and mapping (SLAM), and motion planning in challenging environments. Yang's most influential contribution explores the integration of wireless sensor networks (WSN) with SLAM algorithms to enable autonomous mobile robots to navigate and map unknown indoor environments — a foundational challenge in modern robotics that has garnered 19 citations and remains relevant to smart building and IoT applications. Building on this foundation, Yang further investigated sensor fusion techniques, notably combining single-axis gyroscope data with monocular camera input to improve rotation estimation in mobile robots — a practically elegant solution that addresses cost and complexity constraints in real-world deployments, earning 11 citations. More recently, Yang has extended this expertise to demanding subterranean settings, evaluating motion planning algorithms specifically tailored for underground mobile robots, reflecting a growing interest in robotic applications for mining, disaster response, and infrastructure inspection. Across these contributions, Yang's research consistently bridges theoretical algorithmic development with practical deployment challenges, making meaningful strides toward robust autonomous navigation in GPS-denied and unstructured environments.