Chen Shengfu

Papers

Total Citations

H-Index

About

Chen Shengfu is a researcher focused on multi-robot systems, cooperative navigation, and target tracking in complex environments. His work addresses critical challenges in mobile robotics, particularly the limitations of single-robot systems in dynamic, three-dimensional settings. His most cited paper, "UKF based moving target localizing and tracking method in 3D environments" (2012, 3 citations), introduces an Unscented Kalman Filter approach for simultaneous localization and tracking, enhancing the precision of mobile robots equipped with low-accuracy sensors. This work is foundational for applications requiring robust, real-time target following. Another key contribution, "Theoretical and experimental study of Air-Ground cooperative navigation" (2012, 2 citations), explores the complementary strengths of aerial and ground robots, leveraging the wide environmental perception of drones to improve ground robot navigation. This research advances the field of heterogeneous robot cooperation, which is vital for search-and-rescue, surveillance, and autonomous exploration. Though his citation counts are modest, Chen’s work demonstrates practical, experimental rigor and addresses fundamental problems in robot autonomy and sensor fusion. His contributions are particularly valuable for students and researchers interested in cooperative robotics, sensor-limited systems, and real-world navigation algorithms.