Jiahuan Cen

Papers

Total Citations

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About

Jiahuan Cen is a researcher specializing in mobile robotics, with a particular focus on simultaneous localization and mapping (SLAM), multi-sensor fusion, and autonomous navigation in indoor environments. His most cited work, "Implementation and research on indoor mobile robot mapping and navigation based on RTAB-Map" (2022), addresses a persistent challenge in robotics: enabling reliable mapping and navigation within complex, confined spaces. Cen’s study demonstrates the practical application of the RTAB-Map algorithm to fuse data from multiple sensors, achieving accurate mapping and autonomous movement across a 100-square-meter indoor area. This contribution is significant for advancing real-world deployment of service and industrial robots, where robust perception in dynamic, cluttered settings is critical. With 6 citations, his work has already informed subsequent research in sensor integration and SLAM optimization. Cen’s research bridges the gap between theoretical algorithms and tangible robotic performance, offering a replicable framework for indoor navigation systems. His findings are particularly valuable for students and engineers seeking to implement cost-effective, sensor-driven mapping solutions in constrained environments, underscoring his role in pushing the boundaries of practical mobile robotics.