Xuhang Cai

Papers

Total Citations

H-Index

About

Xuhang Cai is a researcher specializing in robotics and autonomous navigation, with a particular focus on Simultaneous Localization and Mapping (SLAM) and its integration with mobile robotic systems. His major contributions lie in advancing SLAM back-end optimization and simulation frameworks, addressing critical challenges such as cumulative drift in visual odometry and real-world mapping accuracy. In his 2022 work on "Mapping and Path Planning Simulation of Mobile Robot Slam Based on Ros" (8 citations), Cai demonstrated the importance of simulation environments for validating SLAM and autonomous navigation algorithms, enabling early detection of mapping errors. His subsequent paper, "SLAM Back-End Optimization Algorithm Based on Vision Fusion IPS" (7 citations), introduced a novel fusion approach combining visual SLAM with indoor positioning systems to mitigate drift and enhance localization robustness. Though early in his career, Cai’s work has already garnered attention for bridging simulation and practical deployment, offering valuable insights for researchers developing reliable autonomous robots. His research is particularly notable for its practical emphasis on ROS-based implementations, making his findings accessible and reproducible for the broader robotics community.